Literature DB >> 26574339

Structural Ensembles of Intrinsically Disordered Proteins Depend Strongly on Force Field: A Comparison to Experiment.

Sarah Rauscher1, Vytautas Gapsys1, Michal J Gajda2, Markus Zweckstetter2,3,4, Bert L de Groot1, Helmut Grubmüller1.   

Abstract

Intrinsically disordered proteins (IDPs) are notoriously challenging to study both experimentally and computationally. The structure of IDPs cannot be described by a single conformation but must instead be described as an ensemble of interconverting conformations. Atomistic simulations are increasingly used to obtain such IDP conformational ensembles. Here, we have compared the IDP ensembles generated by eight all-atom empirical force fields against primary small-angle X-ray scattering (SAXS) and NMR data. Ensembles obtained with different force fields exhibit marked differences in chain dimensions, hydrogen bonding, and secondary structure content. These differences are unexpectedly large: changing the force field is found to have a stronger effect on secondary structure content than changing the entire peptide sequence. The CHARMM 22* ensemble performs best in this force field comparison: it has the lowest error in chemical shifts and J-couplings and agrees well with the SAXS data. A high population of left-handed α-helix is present in the CHARMM 36 ensemble, which is inconsistent with measured scalar couplings. To eliminate inadequate sampling as a reason for differences between force fields, extensive simulations were carried out (0.964 ms in total); the remaining small sampling uncertainty is shown to be much smaller than the observed differences. Our findings highlight how IDPs, with their rugged energy landscapes, are highly sensitive test systems that are capable of revealing force field deficiencies and, therefore, contributing to force field development.

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Year:  2015        PMID: 26574339     DOI: 10.1021/acs.jctc.5b00736

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  105 in total

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2.  Assembly of α-synuclein aggregates on phospholipid bilayers.

Authors:  Zhengjian Lv; Mohtadin Hashemi; Siddhartha Banerjee; Karen Zagorski; Jean-Christophe Rochet; Yuri L Lyubchenko
Journal:  Biochim Biophys Acta Proteins Proteom       Date:  2019-06-19       Impact factor: 3.036

Review 3.  Force field development and simulations of intrinsically disordered proteins.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  Curr Opin Struct Biol       Date:  2017-11-05       Impact factor: 6.809

4.  Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues.

Authors:  Nelson A Alves; Luis G Dias; Rafael B Frigori
Journal:  J Mol Model       Date:  2019-08-19       Impact factor: 1.810

5.  Extensive tests and evaluation of the CHARMM36IDPSFF force field for intrinsically disordered proteins and folded proteins.

Authors:  Hao Liu; Dong Song; Yangpeng Zhang; Sheng Yang; Ray Luo; Hai-Feng Chen
Journal:  Phys Chem Chem Phys       Date:  2019-10-09       Impact factor: 3.676

6.  HyRes: a coarse-grained model for multi-scale enhanced sampling of disordered protein conformations.

Authors:  Xiaorong Liu; Jianhan Chen
Journal:  Phys Chem Chem Phys       Date:  2017-12-13       Impact factor: 3.676

7.  Osmotic Pressure Simulations of Amino Acids and Peptides Highlight Potential Routes to Protein Force Field Parameterization.

Authors:  Mark S Miller; Wesley K Lay; Adrian H Elcock
Journal:  J Phys Chem B       Date:  2016-04-21       Impact factor: 2.991

8.  Accelerating physical simulations of proteins by leveraging external knowledge.

Authors:  Alberto Perez; Joseph A Morrone; Ken A Dill
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2017-04-19

9.  Structural Characterization of N-WASP Domain V Using MD Simulations with NMR and SAXS Data.

Authors:  Maud Chan-Yao-Chong; Célia Deville; Louise Pinet; Carine van Heijenoort; Dominique Durand; Tâp Ha-Duong
Journal:  Biophys J       Date:  2019-02-26       Impact factor: 4.033

Review 10.  New tricks for old dogs: improving the accuracy of biomolecular force fields by pair-specific corrections to non-bonded interactions.

Authors:  Jejoong Yoo; Aleksei Aksimentiev
Journal:  Phys Chem Chem Phys       Date:  2018-03-28       Impact factor: 3.676

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