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An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R5,874
Discovery Miles 58 740
An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation (Paperback, Softcover...

An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation (Paperback, Softcover reprint of the original 1st ed. 2014)

Gregory R. Bowman, Vijay S. Pande, Frank Noé

Series: Advances in Experimental Medicine and Biology, 797

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Loot Price R5,874 Discovery Miles 58 740 | Repayment Terms: R550 pm x 12*

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The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.

General

Imprint: Springer
Country of origin: Netherlands
Series: Advances in Experimental Medicine and Biology, 797
Release date: September 2016
First published: 2014
Editors: Gregory R. Bowman • Vijay S. Pande • Frank Noé
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 139
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-9402407624
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
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LSN: 9402407626
Barcode: 9789402407624

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