E-Book, Englisch, 348 Seiten
Bonchev / Rouvray Complexity in Chemistry, Biology, and Ecology
1. Auflage 2007
ISBN: 978-0-387-25871-3
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 348 Seiten
ISBN: 978-0-387-25871-3
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The book offers new concepts and ideas that broaden reader's perception of modern science. Internationally established experts present the inspiring new science of complexity, which discovers new general laws covering wide range of science areas. The book offers a broader view on complexity based on the expertise of the related areas of chemistry, biochemistry, biology, ecology, and physics. Contains methodologies for assessing the complexity of systems that can be directly applied to proteomics and genomics, and network analysis in biology, medicine, and ecology.
Autoren/Hrsg.
Weitere Infos & Material
1;CONTRIBUTORS;6
2;PREFACE;8
3;CONTENTS;16
4;ON THE COMPLEXITY OF FULLERENES AND NANOTUBES;22
4.1;1. Introduction;22
4.2;2. On the Complexity of the Complexity Concept;24
4.3;3. Complexity and Branching;25
4.4;4. Complexity of Smaller Molecules;28
4.5;5. Augmented Valence as a Complexity Index;37
4.6;6. Complexity of Smaller Fullerenes;41
4.7;7. Comparison of Local Atomic Environments;46
4.8;8. The Role of Symmetry;50
4.9;9. Concluding Remarks on the Complexity of Fullerenes;55
4.10;10. On the Complexity of Carbon Nanotubes;57
5;COMPLEXITY AND SELF-ORGANIZATION IN BIOLOGICAL DEVELOPMENT AND EVOLUTION;70
5.1;1. Introduction: Complex Chemical Systems in Biological Development and Evolution;70
5.2;2. Dynamic Multistability and Cell Differentiation;72
5.3;3. Biochemical Oscillations and Segmentation;86
5.4;4. Reaction-Diffusion Mechanisms and Embryonic Pattern Formation;91
5.5;5. Evolution of Developmental Mechanisms;97
5.6;6. Conclusions;110
6;THE CIRCLE THAT NEVER ENDS: CAN COMPLEXITY BE MADE SIMPLE?;117
6.1;1. Introduction: The Nature of the Problem and Why it Has No Clear Solution;117
6.2;2. An Introduction to Relational Systems Theory;123
6.3;3. The Structure of Network Thermodynamics as Formalism;138
6.4;4. Simulation of Non-Linear Networks on Spice;153
6.5;5. Relational Networks and Beyond;158
7;GRAPHS AS MODELS OF LARGE-SCALE BIOCHEMICAL ORGANIZATION;174
7.1;1. Introduction;174
7.2;2. Basic Properties of Random Graphs;176
7.3;3. Protein Structure and Contact Graphs;183
7.4;4. Protein Interaction Networks;188
7.5;5. Gene Networks;199
7.6;6. Overview;206
8;QUANTITATIVE MEASURES OF NETWORK COMPLEXITY;209
8.1;1. Some History;209
8.2;2. Networks as Graphs;211
8.3;3. How to Measure Network Complexity;220
8.4;4. Combined Complexity Measures Based on the Graph Adjacency and Distance;231
8.5;5. Vertex Accessibility and Complexity of Directed Graphs;236
8.6;6. Complexity Estimates of Biological and Ecological Networks;239
8.7;7. Overview;248
9;CELLULAR AUTOMATA MODELS OF COMPLEX BIOCHEMICAL SYSTEMS;254
9.1;1. Reality, Systems, and Models;254
9.2;2. General Principles of Complexity;265
9.3;3. Modeling Emergence in Complex Biosystems;274
9.4;4. Examples of Cellular Automata Models;291
9.5;5. General Summary;314
10;THE COMPLEX NATURE OF ECODYNAMICS;319
10.1;1. Introduction;319
10.2;2. Measuring the Effects of Incorporated Constraints;322
10.3;3. Ecosystems and Contingency;323
10.4;4. Autocatalysis and Non-Mechanical Behavior;327
10.5;5. Causality Reconsidered;332
10.6;6. Quantifying Constraint in Ecosystems;334
10.7;7. New Constraints to Help Focus a New Perspective;340
11;AUTHOR INDEX;346
12;SUBJECT INDEX;352
