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Complexity in Chemistry, Biology, and Ecology
Edited by Bonchev, Danail G.; Rouvray, Dennis H.
Springer
September 2005
Hardcover XX, 344 p., ISBN 0387232648
£75.00
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The contemporary scientific method is built on reductionism. The surprising finding that this paradigm has limits gave
rise to the concept of complexity. This book presents the new science of complexity by presenting diverse concepts
from the analyses of a wide range of real world systems (chemical, biochemical, biological, and ecological). Based
on a variety of approaches ranging from cellular automata and dynamic evolutionary networks to topology and
information theory, the book contains methodologies of practical importance for assessing systems complexity
and network analysis in medicine and biology.
The techniques presented can be applied for comparative studies in proteomics and genomics, in the search for
drugs and markers for early diagnostics, in clinical proteomics, in stability/fragility analysis of ecosystems, as well
as for such analysis of fullerenes and other nanotechnology products. The volume combines original results of the
authors, which are internationally recognized experts, with a broad coverage of this explosively developing area.
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 area
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.
Written for mathematical chemists, mathematical biologists, ecologists, chemists, bioinformaticians, system
biologists, and complexity theorists
Contents
- On the Complexity of Fullerenes and Nanotubes.
- Complexity and Self-Organization in Biological
Development and Evolution.
- The Circle That Never Ends: Can Complexity Be Made Simple.
- Graphs as Models of Large-Scale Biochemical Organization.
- Quantitative Measures of Network Complexity.
- Cellular Automata Models of Complex Biochemical Systems.
- The Complex Nature of Ecodynamics.
To find similar publications, click on a keyword below:
Springer
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