Literature DB >> 21038907

Protein simulations with an optimized water model: cooperative helix formation and temperature-induced unfolded state collapse.

Robert B Best1, Jeetain Mittal.   

Abstract

A recognized shortcoming in current protein simulations is that most force fields are parametrized with relatively primitive three-site water models. Since the deficiencies of the common three-site water models in reproducing the phase diagram of water are well-known, an improved description of the solvent will be required, for example, to study proteins in molecular simulations at thermodynamic conditions other than standard temperature and pressure. Here, we combine a protein force field derived from Amber ff03 together with the highly optimized TIP4P/2005 water model, with a small backbone modification to match the population of helical states obtained with the new water model to experiment. Remarkably, we find that the resulting force field, Amber ff03w, produces a more cooperative helix-coil transition, compared with the similarly "backbone-corrected" Amber ff03* model with TIP3P water, with calculated helix propagation parameters in good agreement with the experiment. The radius of gyration for nonhelical conformations is significantly larger for Amber ff03w than for Amber ff03* and shows a collapse with increasing temperature as found in single-molecule experiments on longer proteins. The origin of the collapse appears to be a more favorable enthalpic component of the peptide-solvent interaction and is correlated with increasing turn formation, in accord with the experiment. In addition to this enhanced cooperativity, we verify that, with the new force field, replica exchange folding simulations of the GB1 hairpin and Trp cage result in folded structures, starting from completely unfolded initial conditions; simulations of folded proteins are also stable. These results together suggest that Amber ff03w (with TIP4P/2005) will be well suited for studying protein folding and properties of unfolded state and intrinsically disordered proteins over a wide range of thermodynamic conditions.

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Year:  2010        PMID: 21038907     DOI: 10.1021/jp108618d

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  76 in total

1.  Residue-specific α-helix propensities from molecular simulation.

Authors:  Robert B Best; David de Sancho; Jeetain Mittal
Journal:  Biophys J       Date:  2012-03-20       Impact factor: 4.033

2.  Quantitative assessments of the distinct contributions of polypeptide backbone amides versus side chain groups to chain expansion via chemical denaturation.

Authors:  Alex S Holehouse; Kanchan Garai; Nicholas Lyle; Andreas Vitalis; Rohit V Pappu
Journal:  J Am Chem Soc       Date:  2015-02-23       Impact factor: 15.419

3.  Diffusive Dynamics of Contact Formation in Disordered Polypeptides.

Authors:  Gül H Zerze; Jeetain Mittal; Robert B Best
Journal:  Phys Rev Lett       Date:  2016-02-11       Impact factor: 9.161

4.  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

5.  Role of solvation in pressure-induced helix stabilization.

Authors:  Robert B Best; Cayla Miller; Jeetain Mittal
Journal:  J Chem Phys       Date:  2014-12-14       Impact factor: 3.488

6.  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

7.  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

8.  Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Authors:  Daniel J Kozuch; Frank H Stillinger; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-07       Impact factor: 11.205

9.  Sequence- and Temperature-Dependent Properties of Unfolded and Disordered Proteins from Atomistic Simulations.

Authors:  Gül H Zerze; Robert B Best; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2015-11-10       Impact factor: 2.991

10.  Empirical Optimization of Interactions between Proteins and Chemical Denaturants in Molecular Simulations.

Authors:  Wenwei Zheng; Alessandro Borgia; Madeleine B Borgia; Benjamin Schuler; Robert B Best
Journal:  J Chem Theory Comput       Date:  2015-10-13       Impact factor: 6.006

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