Quantitative Analysis of Cellular Systems
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Chemical Biophysics by Daniel A. Beard
Book DescriptionChemical Biophysics provides an engineering-based approach to biochemical system analysis for graduate-level courses on systems biology, computational bioengineering and molecular biophysics. It is the first textbook to apply rigorous physical chemistry principles to mathematical and computational modeling of biochemical systems for an interdisciplinary audience. The book is structured to show the student the basic biophysical concepts before applying this theory to computational modeling and analysis, building up to advanced topics and research. Topics explored include the kinetics of nonequilibrium open biological systems, enzyme mediated reactions, metabolic networks, biological transport processes, large-scale biochemical networks and stochastic processes in biochemical systems. End-of-chapter exercises range from confidence-building calculations to computational simulation projects.
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Book DetailsISBN: 9780521870702
(247mm x 174mm x 19mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 29-May-2008
Country of Publication: United Kingdom
Books By Author Daniel A. Beard
Biosimulation, Hardback (April 2012)
A hands-on guide to devising, designing and analyzing simulations of biophysical processes for applications in biological and biomedical sciences.
Chemical Biophysics, Paperback (July 2010)» View all books by Daniel A. Beard
Was the first textbook to apply rigorous physical chemistry principles to mathematical and computational modelling of biochemical systems.
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Author Biography - Daniel A. Beard
Daniel A. Beard is Associate Professor in the Department of Physiology, Biotechnology and Bioengineering Center, Medical College of Wisconsin. He researches nonequilibrium thermodynamics in biochemical networks. Hong Qian is Professor of Applied Mathematics in the University of Washington. His research interests span computational systems biology, molecular biophysics and mathematical biology and include stochastic analysis and statistical physics of biological systems.
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