2017
DOI: 10.1021/acs.jctc.6b01094
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Time-Dependent Markov State Models for Single Molecule Force Spectroscopy

Abstract: This Letter demonstrates that using time-dependent Markov state models (TD-MSMs) one can obtain molecular-scale insights into force-extension curves for a variety of stretching experiments. A master-MSM constructed at a reference extension forms the basis for generating the required TD-MSM, i.e., the TD-MSM that is appropriate for the stretching experiment can be constructed from a single master-MSM. In addition, the availability of state-specific force models enable calculation of force-extension behavior in … Show more

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Cited by 11 publications
(13 citation statements)
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“…The stitching algorithm provides a computational strategy for synthesizing waiting times from MD for a target environment. Equation assumes first-order dynamics therefore ascertaining exponential distribution for the waiting times becomes necessary . The stitching procedure presented here is a variation of the one presented originally in refs and while adapting it to the calculation of waiting times for specific local environments.…”
Section: Methodsmentioning
confidence: 99%
“…The stitching algorithm provides a computational strategy for synthesizing waiting times from MD for a target environment. Equation assumes first-order dynamics therefore ascertaining exponential distribution for the waiting times becomes necessary . The stitching procedure presented here is a variation of the one presented originally in refs and while adapting it to the calculation of waiting times for specific local environments.…”
Section: Methodsmentioning
confidence: 99%
“…Consider a MD trajectory of a duration τ MD . Analysis of the trajectory using a combination of distance metrics [38][39][40][41][42][43] and clustering methods, 4,44 and tests for the Markovian approximation (e.g., implied time scales for discrete-time MSMs 23 and tests for first-order behavior for continuous time MSMs 36,45 ) can yield information about the states of the system and the associated kinetic rates. Although states are randomly visited in the trajectory, the occupation π S (t) for a Markov state S at time t is deterministic and is given by the master equation…”
Section: Validity Time For a Markov State Modelmentioning
confidence: 99%
“…However, by using these techniques that employ simplified interaction potentials and reduced numbers of particles the details of the formation and rupture of noncovalent bonds cannot be studied with atomistic resolution. Markov State Models (MSMs) allow to study the kinetics of conformational transitions on long time scales using dynamical information from short atomistic simulation runs [15,16] and they have successfully been applied to extent the dynamical range of FPMD simulations [17,18]. Also methods that are developed directly to increase the efficiency of FPMD simulations are available [19,20].…”
Section: Introductionmentioning
confidence: 99%