Calculating mean first passage times from Markov models of proteins


Assuming that the dynamics of peptides and proteins can be described by Markov transitions between different configurational states, we present a method which can calculate the mean first passage time (MFPT) between sets of initial and final states. The method is described in detail and differences between this and a method commonly employed [1] are explained. It is shown that the proposed method is (i) more general in allowing sets of final states, (ii) significantly faster, (iii) more accurate since it does not involve the calculation of infinite summations. Particular attention is given to the biologically important case of multiple final states.

Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: Copyright © 2007, AIP Publishing. AIP Conference Proceedings 940, 150 (2007); doi: 10.1063/1.2793397
Publication ISSN: 0094-243X
Last Modified: 29 Nov 2023 12:05
Date Deposited: 14 Nov 2018 14:50
Full Text Link: 10.1063/1.2793397
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://aip.sci ... .1063/1.2793397 (Publisher URL)
PURE Output Type: Conference article
Published Date: 2007-12-01
Authors: Jensen, Christian H.
Nerukh, Dmitry
Glen, Robert C.



Version: Published Version

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