An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation (Record no. 94077)

000 -LEADER
fixed length control field 03829nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-94-007-7606-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082532.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131202s2014 ne | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789400776067
-- 978-94-007-7606-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-94-007-7606-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH506
072 #7 - SUBJECT CATEGORY CODE
Subject category code MBGR
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSD
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI049000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED067000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 611.01816
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bowman, Gregory R.
Relator term editor.
245 13 - TITLE STATEMENT
Title An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
Medium [electronic resource] /
Statement of responsibility, etc edited by Gregory R. Bowman, Vijay S. Pande, Frank Noé.
264 #1 -
-- Dordrecht :
-- Springer Netherlands :
-- Imprint: Springer,
-- 2014.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 139 p. 65 illus., 48 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Advances in Experimental Medicine and Biology,
International Standard Serial Number 0065-2598 ;
Volume number/sequential designation 797
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note An overview and practical guide to building Markov state models -- Markov model theory -- Estimation and Validation of Markov models -- Uncertainty estimation -- Analysis of Markov models -- Transition Path Theory -- Understanding Protein Folding using Markov state models -- Understanding Molecular Recognition by Kinetic Network Models Constructed from Molecular Dynamics Simulations -- Markov State and Diffusive Stochastic Models in Electron Spin Resonance -- Software for building Markov state models.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemistry, Physical organic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biology
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedicine.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Molecular Medicine.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Theoretical, Mathematical and Computational Physics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Appl. in Life Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physical Chemistry.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics, general.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pande, Vijay S.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Noé, Frank.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789400776050
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Experimental Medicine and Biology,
-- 0065-2598 ;
Volume number/sequential designation 797
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-94-007-7606-7
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