Literature DB >> 27810573

A survey of coarse-grained methods for modeling protein conformational transitions.

Wenjun Zheng1, Han Wen2.   

Abstract

The decryption of transient structural changes during protein conformational transitions is essential to a detailed understanding of protein functions. To this end, coarse-grained protein structural models have proven valuable by enabling cost-effective simulation/analysis of protein conformational transitions which are too slow for all-atom molecular dynamics simulation. Here we survey state-of-the-art coarse-grained methods for protein conformational transition modeling developed in the past decade, with focus on those available online to public. We highlight the similarities and differences between these methods, and illustrate their usage in case of the T-to-R″ transition of chaperonin GroEL. This survey aims to provide researchers with a useful guide to the available tools for modeling protein conformational transitions.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27810573     DOI: 10.1016/j.sbi.2016.10.008

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  6 in total

Review 1.  Advances in coarse-grained modeling of macromolecular complexes.

Authors:  Alexander J Pak; Gregory A Voth
Journal:  Curr Opin Struct Biol       Date:  2018-11-30       Impact factor: 6.809

2.  Coarse-grain simulations on NMR conformational ensembles highlight functional residues in proteins.

Authors:  Sophie Sacquin-Mora
Journal:  J R Soc Interface       Date:  2019-07-10       Impact factor: 4.118

Review 3.  Molecular simulations of cellular processes.

Authors:  Fabio Trovato; Giordano Fumagalli
Journal:  Biophys Rev       Date:  2017-11-28

4.  Why are large conformational changes well described by harmonic normal modes?

Authors:  Yves Dehouck; Ugo Bastolla
Journal:  Biophys J       Date:  2021-10-26       Impact factor: 4.033

5.  eBDIMS server: protein transition pathways with ensemble analysis in 2D-motion spaces.

Authors:  Laura Orellana; Johan Gustavsson; Cathrine Bergh; Ozge Yoluk; Erik Lindahl
Journal:  Bioinformatics       Date:  2019-09-15       Impact factor: 6.937

Review 6.  Large-Scale Conformational Changes and Protein Function: Breaking the in silico Barrier.

Authors:  Laura Orellana
Journal:  Front Mol Biosci       Date:  2019-11-05
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.