Chapman & Hall/CRC mathematical and computational biology
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index.
CONTENTS NOTE
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Part 1: Equilibrium statistical mechanics -- Equilbrim statistical mechanics -- Biomolecular structure: DNA, RNA, proteins -- Phase transitions in RNA -- Soft matter electrostatics -- Part 2: Non-equilibrium statistical mechanics -- Back to P: probabilities over time -- Fluctuation theorems -- Dynamics of biological networks -- Biological networks: space.
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SUMMARY OR ABSTRACT
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Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Taylor & Francis
Stock Number
9780429503672
OTHER EDITION IN ANOTHER MEDIUM
Title
Computational biology.
International Standard Book Number
9781138587861
TOPICAL NAME USED AS SUBJECT
Biomolecules-- Mechanical properties.
Computational biology.
Statistical mechanics.
Biomechanical Phenomena.
Computational Biology.
Models, Statistical.
Computational biology.
COMPUTERS / Computer Graphics / Game Programming & Design