Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
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We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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\n
1. Considerations and trends
\n
Creativity is a much-requested attitude nowadays that anything and anyone can pass without it. More than this, it turns in a way of life, fundamentally in investigation tasks, in the business procedures, in the family environment, in the learning processes and health diagnosis, and in all aspects of our daily routines. Thus, to increase this, there is the necessity to conjugate synergies of three elements: the mind, the men, and the machines.
\n
Over the mind, since the concept has undergone several evolutions, its considerations constitute a unique basis for understanding creativity, pointing to emotional orientation and triggering mental activities particularly a threat to the use of common sense. So, creativity appears in a relationship experiences’ board [1].
\n
The mind experiences are free and transmit us how versatile the mind is; it considers construction and reconstruction of their presuppositions and the way that generate and self-generate their thoughts in a dual kind of wandering: novelty and utility. So, the creator is the wonder-minded subject [2].
\n
This relationship has been expressed in learning processes, mainly in idea creations, decision-making, problem-solving, lateral thinking, and thought movement [3]. This kind of movement is essentially cultural, an extended process that comports kinetic behavior with mind and culture [4].
\n
But the same relationship represents critical thinking, a form to understand different cultural contexts, an association between thinking measures, like fluency, flexibility, originality, elaboration, and creativity, but only during a performance process [5].
\n
Incidentally, this is confirmed in two experiences where the activity is fundamental to develop a creative mind [6].
\n
This can be enhanced by an unbelieving process, developing creativity in several domains. Between an emotional complex form and a thinking way [7], and by another hand, enhanced by our mind wandering [2] constituting a strong ability to make connections in our whole brain with the purpose of empowering relationships reinforcing the creativity [8].
\n
About a person, we can transform a subject into a creative person, to learn and acquiring personalities such as curiosity, cognition, soft skills, feelings, and motivation; to develop a humanistic vision and to develop personal qualities [9] like research and development [10], working in what he or she views as a challenge and in several domains and activities namely creativity achievements [11].
\n
Furthermore, if we specify abstract concepts, probably we do the lateral thinking [12] in many domains better, and some of them are in verbal expressions [13], innovation tactics [14], environment [15], teamwork [16], leadership expectations [17], and organizational [18] and approach-oriented [19] performances.
\n
If we use the positive mind, we develop creativity, in an equal form, as a man, a person, and a sameness, with positive thinking, and develop and increase creativity by regulating creative emotions [20], but we use also the awe, and by using it, we enhance the creative thinking and control several emotions by positively stimulating the creativity in many perspectives [7]. This will impulse to increase one of the most important personality factors to be creative, present in most studies in this area [21].
\n
But the creativity as a human, personal, and intimate human attitude depends essentially on the will. New theories approach this reality, and one of them is a “triangular theory,” where creative subjects challenge other common people’s beliefs and share an unconscious and conscious reality vision and, in face of this, there originates different combinations of challenge types, creativity materialized examples [22].
\n
According to all this, any human is a creative person [23].
\n
About a machine, with the fast technological development in a brief future, we suppose, there will be difficulty in dating a man from a machine and vice versa. Thus, artificial intelligence is the mainly example in moral decisions, which helps us in making ethical decisions about our expectations; for example, being a part of a platform that helps us to make decisions on the use of autonomous vehicles [24] and health preservation where certain human body organs are changed by bionic devices [25] such as legs, tissues, bones, exoskeletons, and much more.
\n
So, this symbiosis [26] is intense and very creative in such a way that, increases the development of human performance at work, as well as occupational health and individual behavior in general, and artificial intelligence is living in ourselves either [27]. In many aspects, especially in a culture, that we can say that we are living an authentic cyberculture paradigm [28]. As mankind progresses with the machine, it also progresses in the new competencies’ acquisition, the ignition competence being the creativity attitude [29].
\n
Therefore, the psychological concept of creativity is daily changing, since it is a non-rational and inflexible concept, on the contrary, it rests in intervisibility and in a world where the intellectual heritage belongs to machines; the last word in creative actions belongs to humans [30].
\n
The definition of creative activity is any kind of creativity that creates something new, be it anything from the outside world, a product of the creative activity, or an organization of thought or feeling that acts and is present in man himself [31].
\n
Creativity activity is not the same as “creative thinking”; it means interaction between a sociocultural context and the mind of people. It is a systemic phenomenon, more than individual [32]; this is seen as the production of anything new that has a significant impact on a given field and is widely recognized and valued through the demonstration of its social usefulness. In the lower case or in superior case [33], the social significance of the materialized idea depends on what people can do with it.
\n
So, creativity is a systemic process that arises from the relationship between different kinds of actions (individual, field, and domain) that are in different contexts (personal background, society and culture, economy, and globalization) that affect them, as shown in Figure 1 [34].
\n
Figure 1.
Creativity Systemic Process. Source: Adapted from Csikszentmihalyi [34].
\n
According to Figure 1, from the “individual” point of view, it is necessary to analyze the cultural and social contexts in which this individual operates. The interaction between the individual domains favours the communication transmission, and the interaction between the individual field stimulates the result occurrence with the original potential, producing and stimulating novelty, where the interaction between “field” and “domain” selects novelty by judgment and selection of creative results.
\n
This triangulation of perspectives and interpretations reflects the senses of what can search to be faced as “new” trough a confrontation os questions and answers between creativity researchers and participants [35] where the active mind is always present.
\n
Some models mean the presence of the man and the machine, where the computational reports contribute to human insights and establish the relationship with the human neural system to quantify the creativity quality levels and the divergence or convergence of creative thinking, giving an integrative perspective of creativity and contribute for developing the creative cognition [36].
\n
All this have the aim to empower creativity in the work conditions on high-tech environments and the collaborator’s health, through the optimization of work dimensions as work atmosphere, vertical collaboration, autonomy and freedom, respect, alignment, and lateral collaboration, so creativity emerges from a good climate, management, and knowledge strategy [37].
\n
\n
\n
2. Challenges and proposals
\n
Following these purposes, this single book reveals itself in an interesting vision in how the relational trilogy between humanity, its knowledge, and the use of the machine responds to the challenges placed before it, with respect to the own fears and preoccupations, to the human nature and to its social purpose, as well as to the synergy strategic management between man and machine, and to the results’ unpredictable impact.
\n
Like the trilogy mind, men, and machine, this book proposes three moments: the first moment deals with the creativity in humans that suggest what they can do and what they do by doing this. The second moment deals with the creativity in the machines, that is to say, the way in which they propose to the man to develop their capacities. The third moment deals with the collaboration between man and machine interaction.
\n
Therefore, we begin with a spectacular article from Prof. Wesley Carpenter that talks about the power of a special cognitive moment, which conducts a cognitive mutation that will result in creativity, especially on problem-solving and critical solutions. Next, we have an article no less interesting, by Dr Luigi Nasta and Dr Luca Pirolo, who moves us to the fashion world, in a curious form of innovation to increase and improve the commercial relationship form, between fashion companies and customers, in a crowdsourcing operation.
\n
Through the second moment, Dr. Teboho Pitso presents us a wonderful study about the influence of intelligent machines’ capacities versus the human’s cognition and the use of both in creating value.
\n
The last moment is marked by a special and critical work by Dr. Ikkena Onwuegbuna on the machine incidence in musical creation, and how it can be productive if it interacts with the subject with regard to a process of analysis.
\n
Finally, we finish with a wonderful proposal by Dr. Niki Lambaropoulos, who brings us an innovative project—an adaptive virtual reality brain-computer interfaces, which is very useful for the search of new solutions and for learning new tasks.
\n
In conclusion, this book helps us to understand the union of the real with the virtual, through the connecting link that leads to change and evolve: creativity at its best! Surely, it will be a friend, really good, to have in the pocket or on the head table, which opens the vision for a new time, a new place, and a new world scenario!
\n
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Considerations and trends",level:"1"},{id:"sec_2",title:"2. Challenges and proposals",level:"1"}],chapterReferences:[{id:"B1",body:'Spearman C. Creative Mind. The Journal of Nervous and Mental Disease. December 1931;74(6):783\n'},{id:"B2",body:'Fox KC, Beaty RE. Mind-wandering as creative thinking: Neural, psychological, and theoretical considerations. Current Opinion in Behavioral Sciences. 2019;27:123-130. DOI: 10.1016/j.cobeha.2018.10.009\n'},{id:"B3",body:'Molaei S, Fini S, Rahmani MN. The role of creative minds (creativity) in the process of academic achievement. Iranian Journal of Positive Psychology. 2018;4(1):27-31. ISSN: 2423-6985\n'},{id:"B4",body:'Glăveanu VP. The cultural basis of the creative process: A dual-movement framework. The Creative Process, Palgrave Studies in Creativity and Culture. 2018;4:297-316. DOI: 10.1057/978-1-137-50563-7_12\n'},{id:"B5",body:'Wechsler SM, Saiz C, Rivas SF, Vendramini CMM, Almeida LS, Mundim MC, et al. 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Routledge Handbook on Creativity and Philosophy. New York: Routledge. pp. 213-229\n'},{id:"B24",body:'Awad E, Dsouza S, Kim R, Schulz J, Henrich J, Shariff A, et al. The moral machine experiment. Nature. 2018;563:59-64. DOI: 10.1038/s41586-018-0637-6\n'},{id:"B25",body:'Pagaduan JV, Bhatta A, Romer LH, Gracias DH. 3D hybrid small scale devices. Small. 2018;14(27):1702497. DOI: 10.1002/smll.201702497\n'},{id:"B26",body:'Mourad S, Tewfik A. Machine assisted human decision making. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2018. DOI: 10.1109/icassp.2018.8462087\n'},{id:"B27",body:'Nagao K. Symbiosis between humans and artificial intelligence. In: Artificial Intelligence Accelerates Human Learning. Springer; 2019. pp. 135-151. DOI: 10.1007/978-981-13-6175-3_6\n'},{id:"B28",body:'Pereira LM. Cyberculture, symbiosis, and syncretism. AI & SOCIETY. 2018;33(3):447-452. DOI: 10.1007/s00146-017-0715-6\n'},{id:"B29",body:'Leigh S, Agrawal H, Maes P. Robotic symbionts: Interweaving human and machine actions. IEEE Pervasive Computing. 2018;17(2):34-43. DOI: 10.1109/mprv.2018.022511241\n'},{id:"B30",body:'Richards R. Everyday Creativity and the Healthy Mind: Dynamic New Paths for Self and Society. Oakland: Palgrave/McMillan. 2018. pp. 1-377. DOI: 10.1057/978-1-137-55766-7\n'},{id:"B31",body:'Lindqvist G. Vygotsky’s theory of creativity. Creativity Research Journal. 2003;15(2-3):245-251. DOI: 10.1080/10400419.2003.9651416\n'},{id:"B32",body:'Janesick VJ. Intuition and creativity: A pas de deux for qualitative researchers. Qualitative Inquiry. 2001;7(5):531-540. DOI: 10.1177/107780040100700501\n'},{id:"B33",body:'Boden M. The Creative Mind. 2nd ed. London: Routledge. 2002. 344p. ISBN: 0-203-34008-6\n'},{id:"B34",body:'Csikszentmihalyi M. Stalking a new world order. New Literary History. 2004;35(2):339-348. DOI: 10.1353/nlh.2004.0029. Project MUSE\n'},{id:"B35",body:'Lebuda I, Glăveanu VP. Researching the social in creativity, past, present and future: An introduction to the palgrave handbook of social creativity research. In: The Palgrave Handbook of Social Creativity Research. 2018. pp. 1-9. DOI: 10.1007/978-3-319-95498-1_1\n'},{id:"B36",body:'Mekern V, Hommel B, Sjoerds Z. Computational models of creativity: A review of single-process and multi-process recent approaches to demystifying creative cognition. Current Opinion in Behavioral Sciences. 2019;27:47-54. DOI: 10.1016/j.cobeha.2018.09.008\n'},{id:"B37",body:'Lapierre J, Giroux V-P. Creativity and work environment in a high-tech context. Creativity and Innovation Management. 2003;12(1):11-23. DOI: 10.1111/1467-8691.00263\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Sílvio Manuel da Rocha Brito",address:"silvio.brito@ipt.pt",affiliation:'
Psique-Ex, Extremadura University, Spain
'}],corrections:null},book:{id:"6935",type:"book",title:"Toward Super-Creativity",subtitle:"Improving Creativity in Humans, Machines, and Human - Machine Collaborations",fullTitle:"Toward Super-Creativity - Improving Creativity in Humans, Machines, and Human - Machine Collaborations",slug:"toward-super-creativity-improving-creativity-in-humans-machines-and-human-machine-collaborations",publishedDate:"January 29th 2020",bookSignature:"Sílvio Manuel Brito",coverURL:"https://cdn.intechopen.com/books/images_new/6935.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-78985-910-2",printIsbn:"978-1-78985-909-6",pdfIsbn:"978-1-78985-911-9",reviewType:"peer-reviewed",numberOfWosCitations:0,isAvailableForWebshopOrdering:!0,editors:[{id:"170935",title:"Ph.D.",name:"Sílvio Manuel",middleName:"Da Rocha",surname:"Brito",slug:"silvio-manuel-brito",fullName:"Sílvio Manuel Brito"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"569"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"67510",type:"chapter",title:"Introductory Chapter: Super Creativity—Mind, Men, and Machine",slug:"introductory-chapter-super-creativity-mind-men-and-machine",totalDownloads:782,totalCrossrefCites:0,signatures:"Sílvio Manuel da Rocha Brito",reviewType:"peer-reviewed",authors:[{id:"170935",title:"Ph.D.",name:"Sílvio Manuel",middleName:"Da Rocha",surname:"Brito",fullName:"Sílvio Manuel Brito",slug:"silvio-manuel-brito"}]},{id:"65968",type:"chapter",title:"The Aha! 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1. Introduction
Para-aminosalicylic acid (PAS) or 4-aminosalicylic acid (brand name Paser) is an antituberculosis antibiotic [1]. It is applied in combination with other antituberculosis drugs, such as isoniazid, thiacetazone, and streptomycin [2]. PAS inhibits the folic acid synthesis and is the second antibiotic useful in the treatment of tuberculosis after streptomycin [3]. In 1948, researchers demonstrated that combined treatment with streptomycin and PAS was superior to either drug alone, and established the principle of combination therapy for tuberculosis [4]. Mesalazine (MES) or 5-aminosalicylic acid (also known as mesalamine) is an intestinal aminosalicylate drug [5]. This drug is very useful for the treatment of inflammatory bowel diseases such as ulcerative colitis and Crohn’s disease [6]. The MES is similar to salicylates, but it is structurally and therapeutically different from 4-aminosalicylic acid (or p-aminosalicylic acid). Methyl salicylate (MS) is chemically known as methyl-2-hydroxybenzoate, wintergreen oil, and betula oil, which has the empirical formula C8H8O3. MS is pharmacologically similar to aspirin and has anti-inflammatory properties [7]. It is used as a rubefacient and analgesic in the treatment and temporary management of aching and painful muscles and joints [8].
Psoralen (PSO) is naturally synthesized in the form of tricyclic aromatic compounds, which is obtained by compressing a coumarin nucleus with a furan ring [9]. Since its chemical structure is similar to coumarin, it is used in the treatment of some cancers, including T-cell lymphomas in patients with AIDS [10]. It can also be utilized to treat hyperproliferative skin disorders such as psoriasis, eczema, vitiligo, and certain types of skin cancer [11]. Acetaminophen (AC) or N-acetyl-p-aminophenol (with trade names of Tylenol and Panadol) is one of the most popular and most generally applied painkillers and antipyretic drugs around the world. It has relatively low anti-inflammatory activity [12] with respect to other drugs, such as aspirin and ibuprofen. It increases the pain threshold by blocking an enzyme called cyclooxygenase (COX) [13, 14].
The non-covalent interactions (NCIs), such as hydrogen bonding, halogen bonding, and cation-π, anion-π and π-π interactions, are very important in supramolecular chemistry, drug design, protein folding, and crystal engineering [15, 16]. The hydrogen bond (HB) is the most popular form of NCI that directs many chemical, physical, and biochemical processes [17]. The HB interaction is designated as X▬H⋯Y, in which X▬H and Y are the proton-donor and proton-acceptor groups, respectively. Since the hydrogen atom has only one orbital (1s) with sufficiently low energy, HBs are predominantly electrostatic in nature, but covalent and repulsive orbital-orbital interactions are also present. Depending on the type of X and Y, there are strong and weak HBs. In the case of weak HBs, the respective bonding is mainly electrostatic in nature with attractive and repulsive charge-charge, charge-dipole, charge-induced dipole, and charge-multipole interactions between the partially positive charged hydrogen atom and the negatively charged areas of the Y acceptor atom. In the case of strong HBs, in addition to the Coulomb forces, the phenomena of covalent bonding through orbital-orbital overlap attractive and closed-shell repulsive forces are of particular importance.
The cation-π interactions, as another ensemble of NCIs, are significant in biological structures and molecular recognition processes [18]. These interactions represent a strong attraction between the cations and the π-system. The electrostatic and induction interactions are mainly responsible for the attraction. The electrostatic interaction is between the quadrupole of the π-system and the charge of the cation [19]. The magnitude of the induction interaction is proportional to the square of the electric field produced by the cation [20]. Thus, the cations with greater charge have large induction energies.
The importance of cation-π interactions and their physical origin is also vital for understanding the structures and properties of molecular assemblies, improving material and drug design strategies [21]. For example, the role of cation-π interactions in the stability and design of peptides was investigated in 2001 [22]. In this study, the cation-π interactions between amino acid side chains are increasingly recognized as important structural and functional features of proteins and other biomolecules. It is also generally understood that helical proteins are stabilized by a combination of hydrophobic and packing interactions, together with H-bonds and electrostatic interactions. In 2001 [23], Kallenbach et al. showed that polar side-chain interactions on the surface can play an important role in helix formation and stability.
Interactions of metals with biomolecules play an important role in pharmaceutical chemistry [24] through “classical” organometallic chemistry to environment protection (metal-binding biomass) [25]. The role of metal ions in the structure and function of proteins, nucleic acids, and peptide hormones is essential. The pharmacology of metal-drug interactions may depend on the method of management. A metal-drug complex can be directed as a therapeutic agent, or the drug can be administered and interact with metal ions in the body. In addition, the application of drugs in chelating with metal ions or change in the polarity of the medium may affect their chemical and biological properties [26, 27].
Complexes obtained from M (II) ions with strong bioactive ligands containing N and O donor binding sites are employed for biological, analytical, agricultural, industrial, and medicinal purposes [28]. Metal ions are the ultimate components of a healthy life for humans and animals [29]. Copper (Cu) is biologically an appropriate metal associated with different biomolecules due to crucial physiological activities, and it is an important suggestion element for many biological functions [30]. For example, the biological activities of the isolated metal chelates were screened against different types of bacteria and fungi. Rayan et al. [31] showed that the cetirizine drug and the complexes inhibited the growth of tested bacteria to varying degrees, more pronounced when coordinated with the metal ions.
Cu (II) shows an essential character for improving connective tissue, nerve coverings, and bone in humans. The Cu (II) complexes with their bioessential activity and oxidative nature are applied in various biological activities, including antibacterial [32], antitumor [33], antifungal [34], antioxidant [35], and anti-inflammatory [36]. Due to the biological importance of copper cation, it is necessary to consider complexation with bioactive ligands to identify the function of their complexes and to discover new bioactive compounds.
The main purpose of this study is to analyze the effects of NCIs on the energetic, geometric, topological, charge transfer, and electronic descriptors of considered complexes. For this goal, DFT calculations and AIM and NBO analyses are carried out on the MES, PAS, AC, PSO, and MS biomolecules with Cu2+ cation. Furthermore, the effect of these interactions on the aromaticity of the complexes is evaluated by calculating the geometry-based HOMA aromaticity index. In order to deal with this issue in depth, we present an inclusive analysis of the interactions mentioned in the electronic properties of the studied complexes. It should be declared that the importance of theoretical models for these interactions in biological systems has allowed us to study them.
2. Computational procedures
In this study, all calculations are implemented with the Gaussian 09 suite of programs [37]. The geometry optimization is performed at the wB97XD/6-311++G(d,p) level of theory in the gas phase and water solvent. The used basis set is of triple-ζ quality [38] for valence electrons with diffuse functions, which are suitable in computations for ions and structures with lone-pair electrons [39]. The calculations of frequency are carried out at the same level to verify that these structures are local minima on the energy surfaces. The solvent effect for the water solution is obtained using the polarizable continuum model (PCM) [40]. The binding energy with correction for the basis set superposition error (BSSE) is calculated using the Boys-Bernardi counterpoise technique [41] as follows:
∆E=Ecation−π−Ecation+Eπ−system+EBSSEE1
According to this formula, Ecation-π is the total energy of the complexes and Ecation and Eπ-system are the total energies of the free cation and the π-systems, respectively. The stability of the complexes in the presence of water solvent is investigated, and their results are compared with the gas phase. The stabilization energy (Estab) can be calculated from the total energies at the same level of theory as follows:
Estab=Etotsolvent−EtotgasE2
where Etot (solvent) and Etot (gas) are the total energy of the complexes in the presence and absence of solvent, respectively. The topological electron charge density is analyzed by the atoms in molecules (AIM) method [42]. The natural bond orbital (NBO) analysis [43] is used to determine the direction and magnitude of donor-acceptor interactions. The AIM and NBO calculations are carried out with the AIM2000 [44] and NBO programs [45] under the Gaussian 09 program package, respectively. The harmonic oscillator model of aromaticity (HOMA) [46] index is applied as a geometric criterion of local aromaticity according to the formula suggested by Kruszewski and Krygowski [47]:
HOMA=1−αn∑i=0nRopt−Ri2E3
where n is the number of bonds within the investigated rings, α is a constant, and Ropt and Ri are the optimal values of bond lengths for ideally and studied aromatic systems. In this research, the Ropt and α are estimated at the wB97XD/6-311++G(d,p) level of theory (for CC and CO bonds: Ropt,CC = 1.393 Å, Ropt,CO = 1.270 Å, αCC = 89.34, αCO = 77.22). Here, HOMA = 1 is ideal for aromatic systems and HOMA = 0 is for nonaromatic species. Finally, the molecular orbital calculations, such as the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) energies, are performed on the explored systems.
3. Results and discussions
In this work, the effects of NCIs on the different biomolecules of MES, PAS, AC, PSO, and MS with Cu2+ cation (Figure 1a and b) are investigated. As shown in these Figures, the PSO and AC complexes have only the cation···π interaction, while the PAS, MES, and MS complexes have the two NCIs of cation···π and intramolecular hydrogen bond (IMHB) in their structure.
Figure 1.
The model representation for the PSO···M (a), AC···M (b), PAS···M (c), MES···M (d) and MS···M (e) complexes, with M = Cu2+ from front and top views.
3.1 Energetic descriptors
The binding energies corrected with BSSE (∆Eion-π) of the complexes are listed in Table 1. It is well known that the strength of the cation···π interactions strongly depends on the physical properties of the cations and the π-system, the solvation effects, and the interaction geometry. The results show that the obtained absolute values of ∆Eion-π in the gas phase and water solvent are arranged in MES > PAS > AC > PSO > MS order. It is obvious that these values decrease with going from the gas phase to the solution. For example, the binding energy of the MES⋯Cu2+ complex reduces from −259.87 kcal/mol in the gas phase to −101.24 kcal/mol in the water solvent. However, as shown in Table 1, the highest and lowest values of ∆Eion-π in both the gas phase and solution belong to the MES and MS complexes, respectively.
∆Eion-π
EHB
Etot
Estab
Erel
∆H298
∆G298
∆S298
Gas phase
MES⋯Cu2+
−259.87
−17.65
−59598.2346
—
8.2885
−0.446
7.628
−0.027
PAS⋯Cu2+
−249.71
−20.44
−59598.0429
—
8.1349
−0.410
7.437
−0.026
AC⋯Cu2+
−248.78
—
−58619.7787
—
8.3103
−0.342
7.737
−0.027
PSO⋯Cu2+
−237.65
—
−62235.5111
—
8.1734
0.033
7.216
−0.024
MS⋯Cu2+
−228.54
−17.85
−59159.6074
—
8.3435
−0.080
7.299
−0.025
Water
MES⋯Cu2+
−101.24
−14.78
−59606.5231
−8.2885
0.0000
−0.452
7.760
−0.028
PAS⋯Cu2+
−87.30
−15.18
−59606.1779
−8.1349
0.0000
−0.383
7.559
−0.027
AC⋯Cu2+
−88.72
—
−58628.0889
−8.3103
0.0000
−0.651
8.842
−0.032
PSO⋯Cu2+
−76.58
—
−62243.6845
−8.1734
0.0000
−0.152
7.732
−0.026
MS⋯Cu2+
−73.71
−14.28
−59167.9510
−8.3435
0.0000
−0.242
7.729
−0.027
Table 1.
The BSSE-corrected binding and IMHB energies (∆Eion-π and EHB, in kcal mol−1), total energy (Etot, in eV), stabilization energy (Estab, in eV), relative energy (Erel), and thermodynamic parameters of complex formation in the gas phase and water solvent (ΔH, ΔG, and ΔS, in kcal mol−1).
The IMHB energy of the complexes is estimated by means of the Espinosa method [48]. The potential and kinetic energy densities can be determined from the following equations:
GrCP=3103π223ρ53rCP+16∇2ρrCPE4
VrCP=14∇2ρrCP−2GrCPE5
where G(r) is the kinetic energy density, V(r) is the potential energy density, and ρ(r) and ∇2ρ(r) are the electron density and its Laplacian at the critical point (CP), respectively. The simple relationship between the HB energy (EHB) and the potential energy density V(rcp) at the critical point corresponding to the H⋯O contact is assigned to be as follows [49]:
EHB=12VrCPE6
According to the results, the order of EHB for the selected complexes in the gas phase and in water is PAS > MS > MES and PAS > MES > MS, respectively (see Table 1). As shown in this table, the strongest HB is related to the PAS complex, and the EHBs obtained in both the gas phase and solution for the MES and MS complexes are close to each other and lower than the PAS complex.
The values of total energy (Etot), stabilization energy (Estab), and relative energy (Erel) of the complexes are listed in Table 1. The calculations show that the PSO and AC complexes have the most and least stability in the gas and water phases, respectively. The structure’s stability according to the total energy in the gas phase and solution obeys the following order: PSO > MES > PAS > MS > AC. There is a good linear relationship between the total energy (Etot) and the dipole moment (μ°) of the complexes in the water solvent (see Figure 2). This correlation displays that increasing stability is associated with enhancing dipole moment. For the studied complexes, the Estab values follow the MS > AC > MES > PSO > PAS order. In water solvent, the Estab of MS complex is the highest and the lowest value is related to the PAS complex. The results also show a similar trend for the relative energies obtained in the analyzed complexes. Figure 3 illustrates the stability diagram of different biomolecules in terms of relative energy (Erel) in the gas and water phases. It is clear that the stability changes depend on the dielectric constant. In other words, with increasing dielectric constant, the stability enhances.
Figure 2.
Correlation between the total energy (Etot) and dipole moment (μ°) in water solvent.
Figure 3.
Chart of the stability order in terms of relative energy (Erel) in gas phase and water solvent.
To achieve better insight into the mentioned interactions, we have calculated the Gibbs free energy (ΔG), enthalpy (ΔH), and entropy (∆S) thermodynamic changes at 298.15 Kelvin and 1 atmosphere, which are obtained from the frequency calculations. The results are collected in Table 1. As shown in this Table, in most cases, the calculated ΔH values for the complexes are negative and the ΔG values are positive (see Table 1). The negative ΔH values reveal that the formation of these complexes is enthalpically favorable. It is well known that the complexes with lower/higher ΔG values are relatively more stable/unstable, respectively. Nevertheless, the smaller values of ΔH compared to those of ΔG are due to the entropic effect. This means that the ∆S values are negative in all cases studied, and the TΔS values indicate the large entropy changes during the formation of complexes. Since the selected complexes in water solvent are more stable than in the gas phase, in most cases the complexes of this phase are described with higher ΔH values.
3.2 Geometric descriptors
In the selected complexes, after optimizing the geometry, the cations do not remain exactly along the perpendicular symmetric axis of the benzene ring and approach to the ring bonds. It seems that the deviation of cations from the symmetric axis of the benzene ring can be related to the more negative electronic charge of the C5–C6 bond. In the PAS complex, the cation approaches the C6 position. Table 2 presents the geometrical parameters of the complexes formed between the Cu2+ cation and the different π-systems. The strength of the cation-π interactions can be described by the distance between the cation and the benzene ring (dπ···M). Theoretical results show that the stronger cation-π interaction is associated with the smaller dπ···M and vice versa (except for the MES complex). The minimum and maximum values of dπ···M in the gas phase and water correspond to the PAS and MS complexes, respectively.
dπ⋯M
HOMA
dO-H
dO⋯O
dH⋯O
θOHO
HOMA
μ° (D)
Gas phase
MES⋯Cu2+
2.112
0.866
1.005
2.532
1.644
144.6
0.738
8.30
PAS⋯Cu2+
2.070
0.821
1.011
2.510
1.602
146.9
0.715
7.65
AC⋯Cu2+
2.126
0.886
—
—
—
—
—
4.90
PSO⋯Cu2+
2.126
0.855
—
—
—
—
—
8.52
MS⋯Cu2+
2.162
0.868
1.006
2.520
1.632
144.6
0.669
6.58
Water
MES⋯Cu2+
2.109
0.901
0.990
2.574
1.698
145.3
0.799
11.83
PAS⋯Cu2+
2.076
0.861
0.989
2.573
1.689
146.6
0.746
11.12
AC⋯Cu2+
2.115
0.900
—
—
—
—
—
9.80
PSO⋯Cu2+
2.116
0.895
—
—
—
—
—
13.58
MS⋯Cu2+
2.126
0.896
0.989
2.556
1.701
142.3
0.728
10.66
Table 2.
The geometrical parameters (bond lengths (d), in Å and bond angles (θ), in °), HOMA values, and dipole moment (μ° in Debye) of complexes calculated at the wB97XD/6-311++G(d,p) level of theory.
The HB is the most common form of NCIs, which is formed between a hydrogen atom attached to an electronegative donor atom and an adjacent acceptor atom. In this chapter, the strength of the IMHB can change with the geometric parameters of the O▬H···O unit. The values of bond lengths and their corresponding angles are given in Table 2. The obtained results show that in most cases, in both phases, with increasing the strength of HB, the O▬H bond length (dO-H) and the OHO angle (θOHO) increase and the O···O (dO …O) and H···O (dH …O) distances decrease. The O▬H proton donor bond is usually stretched due to HB formation, and this elongation is greater for stronger HBs. The shorter the H⋯O distance, the stronger the HB. These results are consistent with the calculated HB energies.
The structure, reactivity, and stability of the cyclic organic molecules can be determined by aromaticity indices. The geometric parameters of the rings (CC and CO bond lengths) are applied to estimate the so-called geometrical indices of aromaticity based on the HOMA model [41]. This index is used to assess the aromaticity of the benzene ring and the quasi-ring of the O▬H···O unit. The data in Table 2 indicate that the HOMA index of the complexes in the gas and water phases is in the range of 0.821–0.901. Our results display that the maximum and minimum HOMA values of the HB unit are related to the MES and MS complexes, respectively. Based on the calculated data, the complexes in the gas phase have the least aromaticity, while the most aromaticity belongs to the water solvent (see Table 2). In fact, higher HOMA values can be attributed to more electron delocalization. Hence, the greater stability of the complexes in the water solvent is due to their more electron delocalization in this solvent.
The dipole moment of the complexes (μ°) in the gas and solution phases is reported in Table 2. Dipole moment can be used as a descriptor to represent the motion of a charge across a molecule. Direction of the dipole moment vector in a molecule depends on the centers of positive and negative charges. The computations offer that the difference between the dipole moments can be related to the values of the charge on the metal cation and environmental factors. It is obvious that the PSO complex has the largest dipole moment, while the smallest value is observed in the AC complex. This may be expressed by considering the amount of charge on the Cu2+ cation of the complexes. It is worth mentioning that in the PSO complex, the Cu2+ cation has the highest positive charge, while there is less positive charge on the Cu2+ cation in the AC complex. According to the obtained results, the dipole moment values of the analyzed complexes in the water solvent are higher than their corresponding values in the gas phase.
3.3 Topological descriptors
In order to explore the nature and strength of NCIs in the selected biomolecules, AIM analysis is performed. The charge density, ρ(r), Laplacian of electron density, ∇2ρ(r), total electron energy density, H(r), and its components (G(r) and V(r)) at the bond critical point (BCP) are utilized to obtain the topological parameters of the studied complexes. The sign of ∇2ρ(r) is used to recognize closed-shell and shared-shell interactions. The values of ∇2ρ(r) < 0 exhibit shared-shell interactions in covalent forces, while the values of ∇2ρ(r) > 0 indicate closed-shell interactions in HBs, ionic bonds, and van der Waals forces [50]. The molecular graphs of complexes analyzed using the AIM2000 program package are illustrated in Figure 4a and b.
Figure 4.
The molecular graphs of PSO (a), AC (b), PAS (c), MES (d) and MS (e) complexes explored in this study.
According to the results of AIM analysis obtained in Table 3, the electron density properties calculated for the complexes show that π⋯M bonding has low ρ(r) (ranging from 0.0682 to 0.0804) and positive ∇2ρ(r) values (ranging from 0.1644 to 0.2164) but the corresponding H(r) values are negative (ranging from −0.0176 to −0.0286). These data indicate that the cation-π interactions in the selected systems are at least partially covalent in nature. Our findings in Table 3 show that the order of the ρπ⋯M values for the complexes in the gas phase and in water is PAS > MES > PSO > AC > MS and PAS > MES > MS > AC > PSO, respectively. As observed, the highest value of ρπ⋯M in both phases belongs to the PAS complex. Contrary to the calculated binding energies, it is evident in Table 3 that the obtained values of ρ(r) and ∇2ρ(r) increase with going from the gas phase to the solution (except for the PAS complex).
π⋯M
HB
ρ(r)
∇2ρ(r)
H(r)
V(r)
−G/V
ρ(r)
∇2ρ(r)
H(r)
V(r)
−G/V
Gas phase
MES⋯Cu2+
0.0724
0.1671
−0.0222
−0.0862
0.742
0.0540
0.1427
−0.0103
−0.0562
0.817
PAS⋯Cu2+
0.0804
0.1722
−0.0286
−0.1003
0.715
0.0600
0.1472
−0.0141
−0.0651
0.783
AC⋯Cu2+
0.0710
0.1726
−0.0206
−0.0843
0.756
—
—
—
—
—
PSO⋯Cu2+
0.0716
0.1644
−0.0217
−0.0846
0.743
—
—
—
—
—
MS⋯Cu2+
0.0682
0.1814
−0.0176
−0.0805
0.781
0.0539
0.1518
−0.0094
−0.0568
0.834
Water
MES⋯Cu2+
0.0749
0.2012
−0.0214
−0.0931
0.770
0.0476
0.1343
−0.0067
−0.0471
0.857
PAS⋯Cu2+
0.0795
0.1677
−0.0282
−0.0984
0.713
0.0485
0.1365
−0.0071
−0.0483
0.853
AC⋯Cu2+
0.0744
0.2044
−0.0208
−0.0926
0.776
—
—
—
—
—
PSO⋯Cu2+
0.0735
0.1801
−0.0220
−0.0891
0.753
—
—
—
—
—
MS⋯Cu2+
0.0747
0.2164
−0.0200
−0.0941
0.787
0.0458
0.1412
−0.0051
−0.0455
0.888
Table 3.
The selected topological properties of electron density (in a.u.) obtained by AIM analysis.
The formation of HB in the complexes is confirmed with the presence of a bond critical point between the hydrogen atom of the donor group and the acceptor atom. The calculated topological parameters are given in Table 3. As can be seen in this table, the electron density of the H⋯O contact at BCP (ρH …O) for the PAS complex is higher than the other ones in both the gas phase and the solution. It is also clear that the values of ρH …O and ∇2ρH …O calculated in the gas phase are larger than the water solvent. Furthermore, the values of ∇2ρ(r) > 0 and H(r) < 0 show that the HB interaction of the complexes is in the category of medium HBs. The –G/V ratio can also be exploited as a criterion for the character of NCIs [51, 52]: for –G/V > 1, and the interaction is electrostatic, while for 0.5 < −G/V < 1, it is partially covalent. The results obtained in Table 3 show that the NCIs in the systems under study are partially covalent.
3.4 Charge transfer descriptors
The NBO analysis explores the orbital interactions and the charge transfer values of the complexes [43]. The stabilization energy (E(2)) estimated by the second-order perturbation theory, the occupation numbers of donor (OND) and acceptor (ONA) orbitals, and the values of charge transfer (∆qCT) are given in Table 4. The NBO analysis is performed to evaluate the intermolecular interactions between biomolecules and the Cu2+ cation. The results indicate a charge transfer from π-system of the donor species (πC–C) to the LP*(M) (an “empty” lone pair of cation) as acceptor species (π(C–C) → LP*(M)). As shown in Table 4, the maximum and minimum values of E(2) in the gas phase belong to the MES and MS complexes, respectively, which correspond to their binding energies. In addition, despite the obtained binding energies, the donor-acceptor energy of the cation-π interaction increases on passing from the gas phase to the solution phase.
π⋯M interaction
HB interaction
π(C–C) → LP*(M)
LP(O) → σ*(O–H)
E(2)
ONπ(C–C)
ONLP*(M)
∆q(CT1)
E(2)
ONLP(O)
ONσ*(O–H)
q(O)
∆q(CT2)
Gas phase
MES⋯Cu2+
19.68
0.886
0.056
1.145
14.12
0.914
0.033
−0.233
0.111
PAS⋯Cu2+
16.97
0.850
0.061
1.098
17.43
0.911
0.039
−0.227
0.137
AC⋯Cu2+
19.63
0.885
0.055
1.152
—
—
—
—
—
PSO⋯Cu2+
16.98
0.875
0.051
1.107
—
—
—
—
—
MS⋯Cu2+
16.53
0.871
0.046
1.179
14.42
0.959
0.031
−0.293
−0.059
Water
MES⋯Cu2+
20.82
0.884
0.057
1.039
11.69
0.917
0.029
−0.319
0.066
PAS⋯Cu2+
17.93
0.862
0.062
0.995
12.15
0.917
0.031
−0.301
0.112
AC⋯Cu2+
20.50
0.882
0.057
0.992
—
—
—
—
—
PSO⋯Cu2+
17.17
0.873
0.051
0.943
—
—
—
—
—
MS⋯Cu2+
17.91
0.862
0.048
1.060
10.86
0.964
0.025
−0.212
0.012
Table 4.
The values of E(2) correspond to π(C–C) → LP*(M) and LP(O) → σ*(O–H) interactions (in kcalmol−1), occupation numbers of donor (OND) and acceptor (ONA) orbitals, oxygen atomic charges (q(O)), and the charge transfers (∆q(CT) in e) in the studied complexes.
The results of the NBO analysis for HB interaction indicate that the lone pairs of oxygen (LPO) as donor and antibonding orbital of O▬H (σ*O–H) as acceptor provide high stability in the complexes (LP(O) → σ*(O▬H)). As can be seen in Table 4, the greatest values of E(2) are related to the gas phase, while the smallest values correspond to the water solvent. The trend of these results is similar to the obtained HB energies. An increase in the occupancy number of the σ*(O▬H) antibond orbital (ONσ*O▬H) and further weakening and lengthening of the O▬H bond can be observed in HB systems. Inspection of Table 4 reveals that the highest values of E(2) and ONσ*O▬H and the lowest values of ONLP(O) in both the gas phase and solution belong to the PAS⋯Cu2+ complex. This means that the HB is stronger in this complex compared with the others. Consequently, the changes in the occupation numbers of the LP(O) (ONLPO) and σ*(O▬H) (ONσ*O▬H) are in agreement with the energy of charge transfer from LP(O) to σ*(O▬H) (E2) and the HB formation energy (EHB) (except for the MS complex in the gas phase).
The charge transfer is a significant aspect in determining donor and acceptor species. The change of charges leads to charge transfer and molecular polarization in the interaction process. From the difference between the cation charges in the complex state and the free state, the values of charge transfer (ΔqCT1) between the biomolecule rings and the Cu2+ cation are obtained. The results of Table 4 show that the most/least values of Δq(CT1) are related to complexes in the gas phase/solution, respectively.
In the NBO analysis of HB systems, the charge transfer between the lone pairs of proton acceptor and antibonds of the proton donor is the most important. The charge transfer (ΔqCT2) for these systems is determined by the difference between the atomic charges of oxygen in the complexes and their corresponding monomers as: Δq(CT2) = qO (complex) − qO (monomer). As observed in Table 4, the highest absolute values of Δq(CT2) are observed in the gas phase and the lowest values are obtained in the water solvent, which in most cases correspond to their values of E(2).
3.5 Electronic descriptors
The frontier molecular orbitals (FMOs) are investigated to evaluate the stability and reactivity of the studied biomolecules. The significant FMOs usually express the chemical behavior of complexes. The important concepts in quantum chemistry are the highest occupied molecular orbital (HOMO), the lowest unoccupied molecular orbital (LUMO), and its energy gap. Figure 5a and b illustrates the plots of the HOMO and LUMO orbitals of the selected complexes in the gas phase as obtained at the wB97XD/6-311++G(d,p) level of theory. In the corresponding diagrams, the red and green colors denote the positive and negative phases, respectively.
Figure 5.
HOMO and LUMO plots of PSO, AC, PAS, MES and MS complexes obtained at the wB97XD/6-311++G(d,p) level of theory.
Some chemical concepts, such as energy gap (Eg), chemical potential (μ) [53], global hardness (η) [54], electrophilicity index (ω) [55], global softness (S), and electronegativity (χ) [56], are reported in Table 5. These quantities are identified as descriptors of chemical reactivity that are determined from the orbital energies of HOMO and LUMO based on the equations of Koopman’s theorem [57]. The chemical potential and chemical hardness are the first and second partial derivatives of E[ρ], respectively, with respect to the number of electrons under the constant external potential, which are given below:
EHOMO (eV)
ELUMO (eV)
Eg (eV)
η (eV)
S (eV−1)
μ (eV)
χ (eV)
ω (eV)
Gas phase
MES⋯Cu2+
−16.809
−9.252
7.557
3.779
0.132
−13.031
13.031
22.468
PAS⋯Cu2+
−17.763
−9.240
8.524
4.262
0.117
−13.501
13.501
21.386
AC⋯Cu2+
−16.797
−9.212
7.585
3.792
0.132
−13.004
13.004
22.296
PSO⋯Cu2+
−16.828
−9.471
7.357
3.678
0.136
−13.150
13.150
23.505
MS⋯Cu2+
−18.232
−9.672
8.560
4.280
0.117
−13.952
13.952
22.742
Water
MES⋯Cu2+
−9.297
−1.604
7.693
3.847
0.130
−5.450
5.450
3.861
PAS⋯Cu2+
−10.183
−1.253
8.929
4.465
0.112
−5.718
5.718
3.661
AC⋯Cu2+
−9.485
−1.079
8.405
4.203
0.119
−5.282
5.282
3.319
PSO⋯Cu2+
−9.836
−2.009
7.827
3.914
0.128
−5.922
5.922
4.481
MS⋯Cu2+
−10.757
−1.724
9.033
4.516
0.111
−6.240
6.240
4.311
Table 5.
Values of the HOMO and LUMO energies (EHOMO and ELUMO), energy gap (Eg), chemical hardness (η), softness (S), electronic chemical potential (μ), electronegativity (χ), and electrophilicity index (ω).
μ=∂E∂NVr,TE7
η=∂2E∂N2Vr,TE8
S=12ηE9
ω=μ22ηE10
The softness (S) is a key factor in the study of the polarizability of molecules [58], and the electrophilic nature of a molecule is expressed by the electrophilicity index.
It is apparent that the larger values of Eg and η display higher molecular stability and lower reactivity in chemical reactions [59]. Inspection of Table 5 shows that the values of Eg increase in the following order MS > PAS > AC > MES > PSO. As can be seen, the hardest and the most stable system belongs to the MS complex, while the softest and the most reactive system corresponds to the PSO complex. From the results of Table 5, it can be observed that the values of the electronic chemical potential are negative. This indicates that all complexes are stable. The electronegativity (χ) is defined as the negative of μ, as follows: χ = −μ. Our findings display that the maximum and minimum values of electronegativity correspond to the MS and AC complexes, respectively. The trend in the values of electrophilicity index is PSO > MS > MES > AC > PAS. As it is obvious, the maximum electrophilicity index is accompanied by the minimum value of Eg. This is due to the higher electron flow between the HOMO and LUMO orbitals in the related complex.
Molecular electrostatic potential (MEP) surfaces show the three-dimensional charge distributions of molecules. Different colors are used to represent the values of the surface electrostatic potentials. The red and blue regions in the MEP map are related to the electron-rich and electron-poor areas, respectively, while the green color implicates the neutral electrostatic potential. Figure 6a and b illustrates the electron density isosurface mapped with the electrostatic potential surface for the complexes selected in this study. As can be seen from the MEP map of these complexes, while the regions having the negative potential are over the oxygen electronegative atoms (red and yellow colors), the regions having the positive potential are over the Cu2+ cation and the benzene ring plane (blue color).
Figure 6.
Electron density isosurface for PSO, AC, PAS, MES and MS complexes calculated by wB97XD method and 6-311++G(d,p) basis set.
4. Conclusion
In this study, the influence of NCIs on the complexes formed by the various biomolecules (MES, PAS, AC, PSO, and MS) with the Cu2+ cation is investigated using the DFT method. The results show that the absolute values of ∆Eion-π are arranged in MES > PAS > AC > PSO > MS order. It is obvious that these values decrease with going from the gas phase to the solution. For the studied complexes in water solvent, the Estab of MS complex is the highest and the lowest value is related to the PAS complex. From the HOMA results, it can be understood that the greater stability of the complexes in the water solvent is due to their more electron delocalization in this solvent. Contrary to the calculated binding energies, it can be seen that the values of ρ(r), ∇2ρ(r), and the donor-acceptor energy increase on passing from the gas phase to the solution. The formation of HB in the complexes is confirmed with the presence of a bond critical point between the hydrogen atom of donor group and the acceptor atom. The strongest HB is related to the PAS complex, and the EHBs obtained for the MES and MS complexes are close to each other. Furthermore, the values of ∇2ρ(r) > 0 and H(r) < 0 show that the HB interaction of the complexes is in the category of medium HBs. Our data also display that the greatest values of E(2) are related to the gas phase, while the smallest values correspond to the water solvent. The trend of these results is similar to the obtained HB energies. The frontier molecular orbital analysis shows that the hardest and the most stable system belongs to the MS complex, while the softest and the most reactive system corresponds to the PSO complex.
Acknowledgments
The author wishes to thank the Payame Noor University, Tehran, Iran for its support.
Conflict of interest
The author has no conflict of interest.
Abbreviations
DFT
density functional theory
AIM
atoms in molecules
NBO
natural bond orbital
PAS
para-aminosalicylic acid
MES
mesalazine
MS
methyl salicylate
PSO
psoralen
AC
acetaminophen
COX
cyclooxygenase
NCIs
non-covalent interactions
Cu
copper
PCM
polarizable continuum model
BSSE
basis set superposition error
HOMA
harmonic oscillator model of aromaticity
HOMO
highest occupied molecular orbital
LUMO
lowest unoccupied molecular orbital
IMHB
intramolecular hydrogen bond
BCP
bond critical point
FMO
Frontier molecular orbital
MEP
molecular electrostatic potential
\n',keywords:"non-covalent interactions, DFT, AIM, NBO, HOMA",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/82907.pdf",chapterXML:"https://mts.intechopen.com/source/xml/82907.xml",downloadPdfUrl:"/chapter/pdf-download/82907",previewPdfUrl:"/chapter/pdf-preview/82907",totalDownloads:1,totalViews:0,totalCrossrefCites:0,dateSubmitted:"June 4th 2022",dateReviewed:"June 30th 2022",datePrePublished:"August 1st 2022",datePublished:null,dateFinished:"August 1st 2022",readingETA:"0",abstract:"In this chapter, the influence of non-covalent interactions on the complexes formed by the various biomolecules (mesalazine, para-aminosalicylic acid, acetaminophen, psoralen, and methyl salicylate) with the Cu2+ cation is investigated using the density functional theory (DFT) method. Since the interactions involving aromatic rings are crucial binding forces in chemical systems, this is exciting research trying to understand and control the effect of non-covalent interactions responsible for complicated functions in nature. Herein, the calculations are performed in the gas phase and water solvent. The results show that the absolute amounts of energy are reduced by going from the gas phase to the solution. The topological properties of the electron density and the values of charge transfer are evaluated by the Bader theory of atoms in molecules (AIM) and the natural bond orbital (NBO) analysis, respectively. These results are useful for understanding the role of the drug-receptor interactions in the complexes. The electronic descriptors are also important factors in forming a charge-transfer complex between cation and biological target. The results of this study that are ubiquitous in biological systems may be useful for the design and synthesis of a variety of supramolecular complexes with the desired properties.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/82907",risUrl:"/chapter/ris/82907",signatures:"Azadeh Khanmohammadi",book:{id:"11759",type:"book",title:"Copper - From the Mineral to the Final Application",subtitle:null,fullTitle:"Copper - From the Mineral to the Final Application",slug:null,publishedDate:null,bookSignature:"Dr. Daniel Fernández González and Dr. Luis Felipe Verdeja González",coverURL:"https://cdn.intechopen.com/books/images_new/11759.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80356-510-1",printIsbn:"978-1-80356-509-5",pdfIsbn:"978-1-80356-511-8",isAvailableForWebshopOrdering:!0,editors:[{id:"211395",title:"Dr.",name:"Daniel",middleName:null,surname:"Fernández González",slug:"daniel-fernandez-gonzalez",fullName:"Daniel Fernández González"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Computational procedures",level:"1"},{id:"sec_3",title:"3. Results and discussions",level:"1"},{id:"sec_3_2",title:"3.1 Energetic descriptors",level:"2"},{id:"sec_4_2",title:"3.2 Geometric descriptors",level:"2"},{id:"sec_5_2",title:"3.3 Topological descriptors",level:"2"},{id:"sec_6_2",title:"3.4 Charge transfer descriptors",level:"2"},{id:"sec_7_2",title:"3.5 Electronic descriptors",level:"2"},{id:"sec_9",title:"4. Conclusion",level:"1"},{id:"sec_10",title:"Acknowledgments",level:"1"},{id:"sec_13",title:"Conflict of interest",level:"1"},{id:"sec_12",title:"Abbreviations",level:"1"}],chapterReferences:[{id:"B1",body:'Stuart MC, Kouimtzi M, Hill SR, editors. WHO Model Formulary. Geneva: Department of Essential Medicines and Pharmaceutical Policies World Health Organization; 2008'},{id:"B2",body:'Alirezapour F, Khanmohammadi A. 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Generally, the phytochemical constituents of plants fall into two categories based on their role in basic metabolic processes, namely primary and secondary metabolites. Primary plant metabolites are involved in basic life functions; therefore, they are more or less similar in all living cells. On the other hand, secondary plant metabolites are products of subsidiary pathways as the shikimic acid pathway. In the course of studying, the medicinal effect of herbals is oriented towards the secondary plant metabolites. Secondary plant metabolites played an important role in alleviating several aliments in the traditional medicine and folk uses. In modern medicine, they provided lead compounds for the production of medications for treating various diseases from migraine up to cancer. Secondary plant metabolites are classified according to their chemical structures into various classes. In this chapter, we will be presenting various classes of secondary plant metabolites, their distribution in different plant families and their important medicinal uses.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Rehab A. Hussein and Amira A. El-Anssary",authors:[{id:"212117",title:"Dr.",name:"Rehab",middleName:null,surname:"Hussein",slug:"rehab-hussein",fullName:"Rehab Hussein"},{id:"221140",title:"Dr.",name:"Amira",middleName:null,surname:"El-Anssary",slug:"amira-el-anssary",fullName:"Amira El-Anssary"}]},{id:"64851",doi:"10.5772/intechopen.80348",title:"Herbal Medicines in African Traditional Medicine",slug:"herbal-medicines-in-african-traditional-medicine",totalDownloads:14525,totalCrossrefCites:33,totalDimensionsCites:58,abstract:"African traditional medicine is a form of holistic health care system organized into three levels of specialty, namely divination, spiritualism, and herbalism. The traditional healer provides health care services based on culture, religious background, knowledge, attitudes, and beliefs that are prevalent in his community. Illness is regarded as having both natural and supernatural causes and thus must be treated by both physical and spiritual means, using divination, incantations, animal sacrifice, exorcism, and herbs. Herbal medicine is the cornerstone of traditional medicine but may include minerals and animal parts. The adjustment is ok, but may be replaced with –‘ Herbal medicine was once termed primitive by western medicine but through scientific investigations there is a better understanding of its therapeutic activities such that many pharmaceuticals have been modeled on phytochemicals derived from it. Major obstacles to the use of African medicinal plants are their poor quality control and safety. Traditional medical practices are still shrouded with much secrecy, with few reports or documentations of adverse reactions. However, the future of African traditional medicine is bright if viewed in the context of service provision, increase of health care coverage, economic potential, and poverty reduction. Formal recognition and integration of traditional medicine into conventional medicine will hold much promise for the future.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Ezekwesili-Ofili Josephine Ozioma and Okaka Antoinette Nwamaka\nChinwe",authors:[{id:"191264",title:"Prof.",name:"Josephine",middleName:"Ozioma",surname:"Ozioma Ezekwesili-Ofili",slug:"josephine-ozioma-ezekwesili-ofili",fullName:"Josephine Ozioma Ezekwesili-Ofili"},{id:"211585",title:"Prof.",name:"Antoinette",middleName:null,surname:"Okaka",slug:"antoinette-okaka",fullName:"Antoinette Okaka"}]},{id:"54028",doi:"10.5772/67291",title:"Chemical Composition and Biological Activities of Mentha Species",slug:"chemical-composition-and-biological-activities-of-mentha-species",totalDownloads:7520,totalCrossrefCites:13,totalDimensionsCites:50,abstract:"The genus Mentha L. (Lamiaceae) is distributed all over the world and can be found in many environments. Mentha species, one of the world’s oldest and most popular herbs, are widely used in cooking, in cosmetics, and as alternative or complementary therapy, mainly for the treatment of gastrointestinal disorders like flatulence, indigestion, nausea, vomiting, anorexia, and ulcerative colitis. Furthermore, it is well documented that the essential oil and extracts of Mentha species possess antimicrobial, fungicidal, antiviral, insecticidal, and antioxidant properties. The economic importance of mints is also evident; mint oil and its constituents and derivatives are used as flavoring agents throughout the world in food, pharmaceutical, herbal, perfumery, and flavoring industry. To provide a scientific basis for their traditional uses, several studies have been conducted to determine the chemical composition of mints and assess their biological activities. This chapter describes the therapeutic effects and uses of Mentha species and their constituents, particularly essential oils and phenolic compounds; some additional biological activities will also be considered.",book:{id:"5612",slug:"aromatic-and-medicinal-plants-back-to-nature",title:"Aromatic and Medicinal Plants",fullTitle:"Aromatic and Medicinal Plants - Back to Nature"},signatures:"Fatiha Brahmi, Madani Khodir, Chibane Mohamed and Duez Pierre",authors:[{id:"193281",title:"Dr.",name:"Fatiha",middleName:null,surname:"Brahmi",slug:"fatiha-brahmi",fullName:"Fatiha Brahmi"},{id:"199693",title:"Prof.",name:"Khodir",middleName:null,surname:"Madani",slug:"khodir-madani",fullName:"Khodir Madani"},{id:"199694",title:"Prof.",name:"Pierre",middleName:null,surname:"Duez",slug:"pierre-duez",fullName:"Pierre Duez"},{id:"203738",title:"Prof.",name:"Mohamed",middleName:null,surname:"Chibane",slug:"mohamed-chibane",fullName:"Mohamed Chibane"}]},{id:"58270",doi:"10.5772/intechopen.72437",title:"Toxicity and Safety Implications of Herbal Medicines Used in Africa",slug:"toxicity-and-safety-implications-of-herbal-medicines-used-in-africa",totalDownloads:3447,totalCrossrefCites:16,totalDimensionsCites:40,abstract:"The use of herbal medicines has seen a great upsurge globally. In developing countries, many patronize them largely due to cultural acceptability, availability and cost. In developed countries, they are used because they are natural and therefore assumed to be safer than allopathic medicines. In recent times, however, there has been a growing concern about their safety. This has created a situation of ambivalence in discussions regarding their use. Some medicinal plants are intrinsically toxic by virtue of their constituents and can cause adverse reactions if inappropriately used. Other factors such as herb-drug interactions, lack of adherence to good manufacturing practice (GMP), poor regulatory measures and adulteration may also lead to adverse events in their use. Many in vivo tests on aqueous extracts largely support the safety of herbal medicines, whereas most in vitro tests on isolated single cells mostly with extracts other than aqueous ones show contrary results and thus continue the debate on herbal medicine safety. It is expected that toxicity studies concerning herbal medicine should reflect their traditional use to allow for rational discussions regarding their safety for their beneficial use. While various attempts continue to establish the safety of various herbal medicines in man, their cautious and responsible use is required.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Merlin L.K. Mensah, Gustav Komlaga, Arnold D. Forkuo, Caleb\nFirempong, Alexander K. Anning and Rita A. Dickson",authors:[{id:"190435",title:"Dr.",name:"Caleb",middleName:null,surname:"Firempong",slug:"caleb-firempong",fullName:"Caleb Firempong"},{id:"212111",title:"Dr.",name:"Gustav",middleName:null,surname:"Komlaga",slug:"gustav-komlaga",fullName:"Gustav Komlaga"},{id:"217045",title:"Dr.",name:"Arnold Forkuo",middleName:null,surname:"Donkor",slug:"arnold-forkuo-donkor",fullName:"Arnold Forkuo Donkor"},{id:"217049",title:"Prof.",name:"Merlin Lincoln Kwao",middleName:null,surname:"Mensah",slug:"merlin-lincoln-kwao-mensah",fullName:"Merlin Lincoln Kwao Mensah"},{id:"217488",title:"Dr.",name:"Alexander K.",middleName:null,surname:"Anning",slug:"alexander-k.-anning",fullName:"Alexander K. Anning"},{id:"223959",title:"Prof.",name:"Akosua Rita",middleName:null,surname:"Dickson",slug:"akosua-rita-dickson",fullName:"Akosua Rita Dickson"}]},{id:"26489",doi:"10.5772/28224",title:"Alternative and Traditional Medicines Systems in Pakistan: History, Regulation, Trends, Usefulness, Challenges, Prospects and Limitations",slug:"alternative-and-traditional-medicines-systems-in-pakistan-history-regulation-trends-usefulness-chall",totalDownloads:9226,totalCrossrefCites:9,totalDimensionsCites:21,abstract:null,book:{id:"542",slug:"a-compendium-of-essays-on-alternative-therapy",title:"A Compendium of Essays on Alternative Therapy",fullTitle:"A Compendium of Essays on Alternative Therapy"},signatures:"Shahzad Hussain, Farnaz Malik, Nadeem Khalid, Muhammad Abdul Qayyum and Humayun Riaz",authors:[{id:"73162",title:"Dr.",name:"Shahzad",middleName:null,surname:"Hussain",slug:"shahzad-hussain",fullName:"Shahzad Hussain"},{id:"82266",title:"Dr.",name:"Farnaz",middleName:null,surname:"Malik",slug:"farnaz-malik",fullName:"Farnaz Malik"},{id:"124185",title:"Dr.",name:"Humayun",middleName:null,surname:"Riaz",slug:"humayun-riaz",fullName:"Humayun Riaz"},{id:"124186",title:"Mr.",name:"Muhammad Abdul",middleName:null,surname:"Qayyum",slug:"muhammad-abdul-qayyum",fullName:"Muhammad Abdul Qayyum"},{id:"125340",title:"Mr.",name:"Nadeem",middleName:null,surname:"Khalid",slug:"nadeem-khalid",fullName:"Nadeem Khalid"}]}],mostDownloadedChaptersLast30Days:[{id:"64851",title:"Herbal Medicines in African Traditional Medicine",slug:"herbal-medicines-in-african-traditional-medicine",totalDownloads:14512,totalCrossrefCites:33,totalDimensionsCites:58,abstract:"African traditional medicine is a form of holistic health care system organized into three levels of specialty, namely divination, spiritualism, and herbalism. The traditional healer provides health care services based on culture, religious background, knowledge, attitudes, and beliefs that are prevalent in his community. Illness is regarded as having both natural and supernatural causes and thus must be treated by both physical and spiritual means, using divination, incantations, animal sacrifice, exorcism, and herbs. Herbal medicine is the cornerstone of traditional medicine but may include minerals and animal parts. The adjustment is ok, but may be replaced with –‘ Herbal medicine was once termed primitive by western medicine but through scientific investigations there is a better understanding of its therapeutic activities such that many pharmaceuticals have been modeled on phytochemicals derived from it. Major obstacles to the use of African medicinal plants are their poor quality control and safety. Traditional medical practices are still shrouded with much secrecy, with few reports or documentations of adverse reactions. However, the future of African traditional medicine is bright if viewed in the context of service provision, increase of health care coverage, economic potential, and poverty reduction. Formal recognition and integration of traditional medicine into conventional medicine will hold much promise for the future.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Ezekwesili-Ofili Josephine Ozioma and Okaka Antoinette Nwamaka\nChinwe",authors:[{id:"191264",title:"Prof.",name:"Josephine",middleName:"Ozioma",surname:"Ozioma Ezekwesili-Ofili",slug:"josephine-ozioma-ezekwesili-ofili",fullName:"Josephine Ozioma Ezekwesili-Ofili"},{id:"211585",title:"Prof.",name:"Antoinette",middleName:null,surname:"Okaka",slug:"antoinette-okaka",fullName:"Antoinette Okaka"}]},{id:"61866",title:"Plants Secondary Metabolites: The Key Drivers of the Pharmacological Actions of Medicinal Plants",slug:"plants-secondary-metabolites-the-key-drivers-of-the-pharmacological-actions-of-medicinal-plants",totalDownloads:9021,totalCrossrefCites:60,totalDimensionsCites:153,abstract:"The vast and versatile pharmacological effects of medicinal plants are basically dependent on their phytochemical constituents. Generally, the phytochemical constituents of plants fall into two categories based on their role in basic metabolic processes, namely primary and secondary metabolites. Primary plant metabolites are involved in basic life functions; therefore, they are more or less similar in all living cells. On the other hand, secondary plant metabolites are products of subsidiary pathways as the shikimic acid pathway. In the course of studying, the medicinal effect of herbals is oriented towards the secondary plant metabolites. Secondary plant metabolites played an important role in alleviating several aliments in the traditional medicine and folk uses. In modern medicine, they provided lead compounds for the production of medications for treating various diseases from migraine up to cancer. Secondary plant metabolites are classified according to their chemical structures into various classes. In this chapter, we will be presenting various classes of secondary plant metabolites, their distribution in different plant families and their important medicinal uses.",book:{id:"6302",slug:"herbal-medicine",title:"Herbal Medicine",fullTitle:"Herbal Medicine"},signatures:"Rehab A. Hussein and Amira A. El-Anssary",authors:[{id:"212117",title:"Dr.",name:"Rehab",middleName:null,surname:"Hussein",slug:"rehab-hussein",fullName:"Rehab Hussein"},{id:"221140",title:"Dr.",name:"Amira",middleName:null,surname:"El-Anssary",slug:"amira-el-anssary",fullName:"Amira El-Anssary"}]},{id:"77433",title:"Extraction of Bioactive Compounds from Medicinal Plants and Herbs",slug:"extraction-of-bioactive-compounds-from-medicinal-plants-and-herbs",totalDownloads:1428,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"Human beings have relied on herbs and medicinal plants as sources of food and remedy from time immemorial. Bioactive compounds from plants are currently the subject of much research interest, but their extraction as part of phytochemical and/or biological investigations present specific challenges. Herbalists or scientists have developed many protocols of extraction of bioactive ingredients to ensure the effectiveness and the efficacy of crude drugs that were used to get relief from sickness. With the advent of new leads from plants such as morphine, quinine, taxol, artemisinin, and alkaloids from Voacanga species, a lot of attention is paid to the mode of extraction of active phytochemicals to limit the cost linked to the synthesis and isolation. Thus, the extraction of active compounds from plants needs appropriate extraction methods and techniques that provide bioactive ingredients-rich extracts and fractions. The extraction procedures, therefore, play a critical role in the yield, the nature of phytochemical content, etc. This chapter aims to present, describe, and compare extraction procedures of bioactive compounds from herbs and medicinal plants.",book:{id:"10356",slug:"natural-medicinal-plants",title:"Natural Medicinal Plants",fullTitle:"Natural Medicinal Plants"},signatures:"Fongang Fotsing Yannick Stéphane, Bankeu Kezetas Jean Jules, Gaber El-Saber Batiha, Iftikhar Ali and Lenta Ndjakou Bruno",authors:[{id:"224515",title:"Dr.",name:"Fongang Fotsing",middleName:null,surname:"Yannick Stéphane",slug:"fongang-fotsing-yannick-stephane",fullName:"Fongang Fotsing Yannick Stéphane"},{id:"227816",title:"Dr.",name:"Bankeu Kezetas",middleName:null,surname:"Jean Jules",slug:"bankeu-kezetas-jean-jules",fullName:"Bankeu Kezetas Jean Jules"},{id:"227817",title:"Prof.",name:"Lenta Ndjakou",middleName:null,surname:"Bruno",slug:"lenta-ndjakou-bruno",fullName:"Lenta Ndjakou Bruno"},{id:"349790",title:"Prof.",name:"Gaber",middleName:null,surname:"El-Saber Batiha",slug:"gaber-el-saber-batiha",fullName:"Gaber El-Saber Batiha"},{id:"357350",title:"Dr.",name:"Iftikhar",middleName:null,surname:"Ali",slug:"iftikhar-ali",fullName:"Iftikhar Ali"}]},{id:"26491",title:"Homeopathy: Treatment of Cancer with the Banerji Protocols",slug:"homeopathy-treatment-of-cancer-with-the-banerji-protocols",totalDownloads:54241,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"542",slug:"a-compendium-of-essays-on-alternative-therapy",title:"A Compendium of Essays on Alternative Therapy",fullTitle:"A Compendium of Essays on Alternative Therapy"},signatures:"Prasanta Banerji and Pratip Banerji",authors:[{id:"79939",title:"Dr",name:"Prasanta",middleName:null,surname:"Banerji",slug:"prasanta-banerji",fullName:"Prasanta Banerji"},{id:"79943",title:"Dr.",name:"Pratip",middleName:null,surname:"Banerji",slug:"pratip-banerji",fullName:"Pratip Banerji"}]},{id:"54028",title:"Chemical Composition and Biological Activities of Mentha Species",slug:"chemical-composition-and-biological-activities-of-mentha-species",totalDownloads:7515,totalCrossrefCites:13,totalDimensionsCites:50,abstract:"The genus Mentha L. (Lamiaceae) is distributed all over the world and can be found in many environments. Mentha species, one of the world’s oldest and most popular herbs, are widely used in cooking, in cosmetics, and as alternative or complementary therapy, mainly for the treatment of gastrointestinal disorders like flatulence, indigestion, nausea, vomiting, anorexia, and ulcerative colitis. Furthermore, it is well documented that the essential oil and extracts of Mentha species possess antimicrobial, fungicidal, antiviral, insecticidal, and antioxidant properties. The economic importance of mints is also evident; mint oil and its constituents and derivatives are used as flavoring agents throughout the world in food, pharmaceutical, herbal, perfumery, and flavoring industry. To provide a scientific basis for their traditional uses, several studies have been conducted to determine the chemical composition of mints and assess their biological activities. This chapter describes the therapeutic effects and uses of Mentha species and their constituents, particularly essential oils and phenolic compounds; some additional biological activities will also be considered.",book:{id:"5612",slug:"aromatic-and-medicinal-plants-back-to-nature",title:"Aromatic and Medicinal Plants",fullTitle:"Aromatic and Medicinal Plants - Back to Nature"},signatures:"Fatiha Brahmi, Madani Khodir, Chibane Mohamed and Duez Pierre",authors:[{id:"193281",title:"Dr.",name:"Fatiha",middleName:null,surname:"Brahmi",slug:"fatiha-brahmi",fullName:"Fatiha Brahmi"},{id:"199693",title:"Prof.",name:"Khodir",middleName:null,surname:"Madani",slug:"khodir-madani",fullName:"Khodir Madani"},{id:"199694",title:"Prof.",name:"Pierre",middleName:null,surname:"Duez",slug:"pierre-duez",fullName:"Pierre Duez"},{id:"203738",title:"Prof.",name:"Mohamed",middleName:null,surname:"Chibane",slug:"mohamed-chibane",fullName:"Mohamed Chibane"}]}],onlineFirstChaptersFilter:{topicId:"991",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:140,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:123,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. Vouros",slug:"deep-multiagent-reinforcement-learning-methods-addressing-the-scalability-challenge",totalDownloads:19,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Multi-Agent Technologies and Machine Learning",coverURL:"https://cdn.intechopen.com/books/images_new/11445.jpg",subseries:{id:"27",title:"Multi-Agent Systems"}}},{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:14,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:59,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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\r\n\tIn order to scientifically address significant issues such as climate change, which puts into question our very survival as a species, the current pandemic with its massive physical, socio-economical, and psychological consequences, and the rise of AI which challenges our established economic structures, we need to ask insightful questions: What is truly human? How can humans develop further? The answers to these questions are necessary not only to find new solutions to the current challenges, but also to shape new visions of what can come next.
\r\n
\r\n\tNeuroscientific research linking brain functions has produced a perspective on human development that includes normal, impaired, and enhanced neurophysiological, emotional and cognitive functioning. Human development has been considered the very aim of education and of educative processes. Indeed, the capabilities built through educational training are included in the UN’s human development index, according to which such capabilities are the ultimate criteria to assess the development of a country, rather than economic growth alone. Yet a full understanding of what Human Development truly constitutes, remains open. For example, tackling the question of what distinguishes human beings from other animals, and what humans’ possible development trajectory might look like, calls for a multidisciplinary approach. Consequently, contributions to such an inquiry might come from very different scientific fields, ranging from cognitive neuroscience to socioeconomics. For instance, in the field of neuroscience, self-awareness—the most specific characteristic of human beings—has been investigated in connection with its neural correlates. Recent research points to self-awareness as the particular ability of our species, directly connecting it to our abstract thinking which in turn enables envisioning new possible futures and self-development
\r\n
\r\n\tTo achieve a broad, multidisciplinary perspective on possible human development, subjects will be considered through varied— yet related—approaches. We will provide a complex yet consistent framework through which we will explore a substantial amount and variety of theories and case studies. Our ultimate goal will be to produce useful indications for policy making in diverse contexts, assist teachers and parents with child development in an optimal way, and enhance theoretical and practical knowledge.
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Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation"},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:{id:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343",scope:"Biomedical Engineering is one of the fastest-growing interdisciplinary branches of science and industry. 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Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. 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Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. 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