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Einband grossComplexity in Computational Chemistry
ISBN/GTIN

Complexity in Computational Chemistry

BuchGebunden
Englisch
Springererschienen am28.05.20241st ed. 2024
This volume of the Encyclopedia of Complexity and Systems Science Series describes the current state of the analysis of complexity in chemistry from a wide-ranging perspective.mehr

Produkt

KlappentextThis volume of the Encyclopedia of Complexity and Systems Science Series describes the current state of the analysis of complexity in chemistry from a wide-ranging perspective.
Zusammenfassung
Written by leading experts from around the world on chemical and biochemical complexity

Serves as a comprehensive reference for anyone interested in the study of chemical complexity from the atomic to the intermolecular level

Thoroughly updated from the first edition of the Encyclopedia--including new chapters on complexity in proteins, protein-protein interactions and metabolic transformation networks
Details
ISBN/GTIN978-1-4939-9765-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum28.05.2024
Auflage1st ed. 2024
ReiheEncyclopedia of Complexity and Systems Science Series
SpracheEnglisch
IllustrationenApprox. 470 p.
Artikel-Nr.46757687

Inhalt/Kritik

Inhaltsverzeichnis
1. Chaotic Dynamics, Noise, and Fractal Space in Biochemistry2. Biological Complexity and Biochemical Information3. Complexity and Self-organization in Biological Development and Evolution4. Cellular Automata Modeling of Complex Biochemical Systems5. Multifunctional Composites6. Introduction to Complexity in Computational Chemistry7. Computer-Aided Design of the Reaction Site in Heterogeneous Catalysis8. DNA-Templated Self-Assembly of Protein Arrays and Highly Conductive Nanowires9. Drug Design with Artificial Intelligence Methods10. Drug Design with Artificial Neural Networks11. Drug Design with Machine Learning12. Molecular Descriptors in Drug Design13. Information Theoretic Complexity Measures14. Networks in Molecular Evolution15. Complexity of Nanoscale Atomic Clusters16. Nonlinearity in Polymers17. Complexity and Challenges of Modern QSAR Modeling and QSAR Based Virtual Screening18. Quantum Similarity and Quantum Quantitative Structure-Properties Relationships (QQSPR)19. Self-assembled Materials20. Topological Complexity of Molecules21. Complexity of Protein residue networks22. Complexity of Protein-protein interaction networks23. Complexity of Metabolic networksmehr

Schlagworte

Autor

Professor Ernesto Estrada is currently Chair of Complexity Sciences at the University of Strathclyde. His research has shaped and developed the study of complex networks and of mathematical chemistry. His expertise ranges from the areas of network structure, algebraic network theory, dynamical systems on networks to the study of random models of networks and the study of graph invariants for studying molecules, QSAR, QSPR and drug design. He has 188 publications attracting more than 9,200 citations, and a h-index of 54. He has published three books on network science, as well as 15 refereed book chapters. He is the founder and Editor-in-Chief of the Journal of Complex Networks, and Associate Editor of the SIAM Journal of Applied Mathematics, and he is on the Editorial Board of MATCH: Communications in Mathematical and in Computer Chemistry.
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Herausgegeben:Estrada, Ernesto
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