Literature DB >> 29113819

Conformational landscapes of membrane proteins delineated by enhanced sampling molecular dynamics simulations.

Tyler J Harpole1, Lucie Delemotte2.   

Abstract

The expansion of computational power, better parameterization of force fields, and the development of novel algorithms to enhance the sampling of the free energy landscapes of proteins have allowed molecular dynamics (MD) simulations to become an indispensable tool to understand the function of biomolecules. The temporal and spatial resolution of MD simulations allows for the study of a vast number of processes of interest. Here, we review the computational efforts to uncover the conformational free energy landscapes of a subset of membrane proteins: ion channels, transporters and G-protein coupled receptors. We focus on the various enhanced sampling techniques used to study these questions, how the conclusions come together to build a coherent picture, and the relationship between simulation outcomes and experimental observables.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Free energy landscape; G-protein coupled receptor; Ion channel; Membrane protein; Molecular dynamics simulations; Transporter

Mesh:

Substances:

Year:  2017        PMID: 29113819     DOI: 10.1016/j.bbamem.2017.10.033

Source DB:  PubMed          Journal:  Biochim Biophys Acta Biomembr        ISSN: 0005-2736            Impact factor:   3.747


  23 in total

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