Literature DB >> 26606367

Optimizing Protein-Solvent Force Fields to Reproduce Intrinsic Conformational Preferences of Model Peptides.

Paul S Nerenberg1, Teresa Head-Gordon1.   

Abstract

While most force field efforts in biomolecular simulation have focused on the parametrization of the protein, relatively little attention has been paid to the quality of the accompanying solvent model. These considerations are especially relevant for simulations of intrinsically disordered peptides and proteins, for which energy differences between conformations are small and interactions with water are enhanced. In this work, we investigate the accuracy of the AMBER ff99SB force field when combined with the standard TIP3P model or the more recent TIP4P-Ew water model, to generate conformational ensembles for disordered trialanine (Ala3), triglycine (Gly3), and trivaline (Val3) peptides. We find that the TIP4P-Ew water model yields significantly better agreement with experimentally measured scalar couplings-and therefore more accurate conformational ensembles-for both Ala3 and Gly3. For Val3, however, we find that the TIP3P and TIP4P-Ew ensembles are equivalent in their performance. To further improve the protein-water force field combination and obtain more accurate intrinsic conformational preferences, we derive a straightforward perturbation to the ϕ' backbone dihedral potential that shifts the β-PPII equilibrium. We find that the revised ϕ' backbone dihedral potential yields improved conformational ensembles for a variety of small peptides and maintains the stability of the globular ubiquitin protein in TIP4P-Ew water.

Entities:  

Year:  2011        PMID: 26606367     DOI: 10.1021/ct2000183

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


  48 in total

1.  A study of the α-helical intermediate preceding the aggregation of the amino-terminal fragment of the β amyloid peptide (Aβ(1-28)).

Authors:  Ana V Rojas; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2011-10-18       Impact factor: 2.991

2.  Transient β-hairpin formation in α-synuclein monomer revealed by coarse-grained molecular dynamics simulation.

Authors:  Hang Yu; Wei Han; Wen Ma; Klaus Schulten
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

3.  Intrinsic α-helical and β-sheet conformational preferences: a computational case study of alanine.

Authors:  Diego Caballero; Jukka Määttä; Alice Qinhua Zhou; Maria Sammalkorpi; Corey S O'Hern; Lynne Regan
Journal:  Protein Sci       Date:  2014-05-09       Impact factor: 6.725

4.  The combined force field-sampling problem in simulations of disordered amyloid-β peptides.

Authors:  James Lincoff; Sukanya Sasmal; Teresa Head-Gordon
Journal:  J Chem Phys       Date:  2019-03-14       Impact factor: 3.488

5.  Recent Force Field Strategies for Intrinsically Disordered Proteins.

Authors:  Junxi Mu; Hao Liu; Jian Zhang; Ray Luo; Hai-Feng Chen
Journal:  J Chem Inf Model       Date:  2021-02-16       Impact factor: 4.956

Review 6.  To milliseconds and beyond: challenges in the simulation of protein folding.

Authors:  Thomas J Lane; Diwakar Shukla; Kyle A Beauchamp; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2012-12-10       Impact factor: 6.809

7.  Sequence-dependent DNA condensation as a driving force of DNA phase separation.

Authors:  Hyunju Kang; Jejoong Yoo; Byeong-Kwon Sohn; Seung-Won Lee; Hong Soo Lee; Wenjie Ma; Jung-Min Kee; Aleksei Aksimentiev; Hajin Kim
Journal:  Nucleic Acids Res       Date:  2018-10-12       Impact factor: 16.971

8.  Molecular Dynamics Simulations of 441 Two-Residue Peptides in Aqueous Solution: Conformational Preferences and Neighboring Residue Effects with the Amber ff99SB-ildn-NMR Force Field.

Authors:  Shuxiang Li; Casey T Andrews; Tamara Frembgen-Kesner; Mark S Miller; Stephen L Siemonsma; Timothy D Collingsworth; Isaac T Rockafellow; Nguyet Anh Ngo; Brady A Campbell; Reid F Brown; Chengxuan Guo; Michael Schrodt; Yu-Tsan Liu; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-03-10       Impact factor: 6.006

9.  ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

Authors:  James A Maier; Carmenza Martinez; Koushik Kasavajhala; Lauren Wickstrom; Kevin E Hauser; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2015-07-23       Impact factor: 6.006

10.  pH-Independence of trialanine and the effects of termini blocking in short peptides: a combined vibrational, NMR, UVCD, and molecular dynamics study.

Authors:  Siobhan Toal; Derya Meral; Daniel Verbaro; Brigita Urbanc; Reinhard Schweitzer-Stenner
Journal:  J Phys Chem B       Date:  2013-03-28       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.