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Dynamical reweighting methods for Markov models

  • Conformational dynamics is essential to biomolecular processes. Markov State Models (MSMs) are widely used to elucidate dynamic properties of molecular systems from unbiased Molecular Dynamics (MD). However, the implementation of reweighting schemes for MSMs to analyze biased simulations is still at an early stage of development. Several dynamical reweighing approaches have been proposed, which can be classified as approaches based on (i) Kramers rate theory, (ii) rescaling of the probability density flux, (iii) reweighting by formulating a likelihood function, (iv) path reweighting. We present the state-of-the-art and discuss the methodological differences of these methods, their limitations and recent applications.
Author:Stefanie Kieninger, Luca DonatiORCiD, Bettina G. KellerORCiD
Document Type:Article
Parent Title (English):Current Opinion in Structural Biology
First Page:124
Last Page:131
Year of first publication:2020
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