Literature DB >> 28226222

Computer Simulations of Intrinsically Disordered Proteins.

Song-Ho Chong1, Prathit Chatterjee1, Sihyun Ham1.   

Abstract

The investigation of intrinsically disordered proteins (IDPs) is a new frontier in structural and molecular biology that requires a new paradigm to connect structural disorder to function. Molecular dynamics simulations and statistical thermodynamics potentially offer ideal tools for atomic-level characterizations and thermodynamic descriptions of this fascinating class of proteins that will complement experimental studies. However, IDPs display sensitivity to inaccuracies in the underlying molecular mechanics force fields. Thus, achieving an accurate structural characterization of IDPs via simulations is a challenge. It is also daunting to perform a configuration-space integration over heterogeneous structural ensembles sampled by IDPs to extract, in particular, protein configurational entropy. In this review, we summarize recent efforts devoted to the development of force fields and the critical evaluations of their performance when applied to IDPs. We also survey recent advances in computational methods for protein configurational entropy that aim to provide a thermodynamic link between structural disorder and protein activity.

Entities:  

Keywords:  configurational entropy; correlation entropy; force field; molecular dynamics; statistical thermodynamics

Mesh:

Substances:

Year:  2017        PMID: 28226222     DOI: 10.1146/annurev-physchem-052516-050843

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  24 in total

Review 1.  Features of molecular recognition of intrinsically disordered proteins via coupled folding and binding.

Authors:  Jing Yang; Meng Gao; Junwen Xiong; Zhengding Su; Yongqi Huang
Journal:  Protein Sci       Date:  2019-09-04       Impact factor: 6.725

Review 2.  Bacterial functional amyloids: Order from disorder.

Authors:  Neha Jain; Matthew R Chapman
Journal:  Biochim Biophys Acta Proteins Proteom       Date:  2019-06-10       Impact factor: 3.036

Review 3.  Physical Chemistry of the Protein Backbone: Enabling the Mechanisms of Intrinsic Protein Disorder.

Authors:  Justin A Drake; B Montgomery Pettitt
Journal:  J Phys Chem B       Date:  2020-05-14       Impact factor: 2.991

4.  Generation of the configurational ensemble of an intrinsically disordered protein from unbiased molecular dynamics simulation.

Authors:  Utsab R Shrestha; Puneet Juneja; Qiu Zhang; Viswanathan Gurumoorthy; Jose M Borreguero; Volker Urban; Xiaolin Cheng; Sai Venkatesh Pingali; Jeremy C Smith; Hugh M O'Neill; Loukas Petridis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

Review 5.  Dynamic conformational flexibility and molecular interactions of intrinsically disordered proteins.

Authors:  Anil Bhattarai; Isaac Arnold Emerson
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

6.  The origin and impact of bound water around intrinsically disordered proteins.

Authors:  Korey M Reid; Abhishek K Singh; Chowdhury R Bikash; Jessica Wei; Yftah Tal-Gan; Nguyen Q Vinh; David M Leitner
Journal:  Biophys J       Date:  2022-01-21       Impact factor: 4.033

7.  Computational Models for the Study of Protein Aggregation.

Authors:  Nguyen Truong Co; Mai Suan Li; Pawel Krupa
Journal:  Methods Mol Biol       Date:  2022

Review 8.  Interactions between the Intrinsically Disordered Proteins β-Synuclein and α-Synuclein.

Authors:  Jonathan K Williams; Xue Yang; Jean Baum
Journal:  Proteomics       Date:  2018-09-09       Impact factor: 3.984

9.  Effects of pH on an IDP conformational ensemble explored by molecular dynamics simulation.

Authors:  Richard J Lindsay; Rachael A Mansbach; S Gnanakaran; Tongye Shen
Journal:  Biophys Chem       Date:  2021-01-26       Impact factor: 2.352

10.  Computational strategy for intrinsically disordered protein ligand design leads to the discovery of p53 transactivation domain I binding compounds that activate the p53 pathway.

Authors:  Hao Ruan; Chen Yu; Xiaogang Niu; Weilin Zhang; Hanzhong Liu; Limin Chen; Ruoyao Xiong; Qi Sun; Changwen Jin; Ying Liu; Luhua Lai
Journal:  Chem Sci       Date:  2020-12-28       Impact factor: 9.825

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