
Introduction  Preview Material  Table of Contents  Supplementary Material 
Courant Lecture Notes 2013; 128 pp; softcover Volume: 24 ISBN10: 0821843591 ISBN13: 9780821843598 List Price: US$34 Member Price: US$27.20 Order Code: CLN/24 See also: Markov Chains and Mixing Times  David A Levin, Yuval Peres and Elizabeth L Wilmer Modeling and Simulation of Biological Networks  Reinhard C Laubenbacher  Applications in modern biotechnology and molecular medicine often require simulation of biomolecular systems in atomic representation with immense length and timescales that are far beyond the capacity of computer power currently available. As a consequence, there is an increasing need for reduced models that describe the relevant dynamical properties while at the same time being less complex. In this book the authors exploit the existence of metastable sets for constructing such a reduced molecular dynamics model, the socalled Markov state model (MSM), with good approximation properties on the long timescales. With its many examples and illustrations, this book is addressed to graduate students, mathematicians, and practical computational scientists wanting an overview of the mathematical background for the everincreasing research activity on how to construct MSMs for very different molecular systems ranging from peptides to proteins, from RNA to DNA, and via molecular sensors to molecular aggregation. This book bridges the gap between mathematical research on molecular dynamics and its practical use for realistic molecular systems by providing readers with tools for performing indepth analysis of simulation and dataanalysis methods. Titles in this series are copublished with the Courant Institute of Mathematical Sciences at New York University. Readership Graduate students and research mathematicians interested in molecular dynamics. 


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