Chemical Biophysics: Quantitative Analysis of Cellular Systems (Cambridge Texts in Biomedical Engineering) | 
enlarge | Authors: Daniel A. Beard, Hong Qian Publisher: Cambridge University Press Category: Book
List Price: $80.00 Buy New: $72.48 You Save: $7.52 (9%)
New (9) Used (1) from $72.48
Sales Rank: 208290
Media: Hardcover Edition: 1 Number Of Items: 1 Pages: 336 Shipping Weight (lbs): 1.8 Dimensions (in): 9.8 x 6.9 x 0.9
ISBN: 0521870704 Dewey Decimal Number: 612.01583 EAN: 9780521870702 ASIN: 0521870704
Publication Date: July 7, 2008 (New: Last 30 Days) Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.
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Product Description Chemical 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 current 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.
Book Description Chemical 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 modelling of biochemical systems for an interdisciplinary audience.
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