Elucidating molecular mechanisms of functional conformational changes of proteins via Markov state models.

Abstract:

:Functional conformational changes of proteins can facilitate numerous biological events in cells. The Markov state model (MSM) built from molecular dynamics simulations provide a powerful approach to study them. We here introduce a protocol that is tailor-made for constructing MSMs to study the functional conformational changes of proteins. In this protocol, one of the important steps is to select proper molecular features that can collectively describe the slowest timescales of conformational changes of interest. We recommend spectral oASIS, the modified version of oASIS, as a promising approach for automatic feature selection. Recently developed deep learning methods could also serve efficient approaches for selecting features and finding collective variables. Using DNA repair enzymes and RNA polymerases as examples, we review recent applications of MSMs to elucidate molecular mechanisms of functional conformational changes. Finally, we discuss remaining challenges and future perspectives for constructing MSMs to study functional conformational changes of proteins.

journal_name

Curr Opin Struct Biol

authors

Wang X,Unarta IC,Cheung PP,Huang X

doi

10.1016/j.sbi.2020.10.005

subject

Has Abstract

pub_date

2020-10-27 00:00:00

pages

69-77

eissn

0959-440X

issn

1879-033X

pii

S0959-440X(20)30172-X

journal_volume

67

pub_type

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