Literature DB >> 26030189

Kirkwood-Buff Approach Rescues Overcollapse of a Disordered Protein in Canonical Protein Force Fields.

Davide Mercadante1,2, Sigrid Milles3, Gustavo Fuertes4,3, Dmitri I Svergun4, Edward A Lemke3, Frauke Gräter1,2.   

Abstract

Understanding the function of intrinsically disordered proteins is intimately related to our capacity to correctly sample their conformational dynamics. So far, a gap between experimentally and computationally derived ensembles exists, as simulations show overcompacted conformers. Increasing evidence suggests that the solvent plays a crucial role in shaping the ensembles of intrinsically disordered proteins and has led to several attempts to modify water parameters and thereby favor protein-water over protein-protein interactions. This study tackles the problem from a different perspective, which is the use of the Kirkwood-Buff theory of solutions to reproduce the correct conformational ensemble of intrinsically disordered proteins (IDPs). A protein force field recently developed on such a basis was found to be highly effective in reproducing ensembles for a fragment from the FG-rich nucleoporin 153, with dimensions matching experimental values obtained from small-angle X-ray scattering and single molecule FRET experiments. Kirkwood-Buff theory presents a complementary and fundamentally different approach to the recently developed four-site TIP4P-D water model, both of which can rescue the overcollapse observed in IDPs with canonical protein force fields. As such, our study provides a new route for tackling the deficiencies of current protein force fields in describing protein solvation.

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Year:  2015        PMID: 26030189     DOI: 10.1021/acs.jpcb.5b03440

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


  24 in total

1.  Characterizing a partially ordered miniprotein through folding molecular dynamics simulations: Comparison with the experimental data.

Authors:  Athanasios S Baltzis; Nicholas M Glykos
Journal:  Protein Sci       Date:  2015-12-16       Impact factor: 6.725

2.  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

3.  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

4.  Slide-and-exchange mechanism for rapid and selective transport through the nuclear pore complex.

Authors:  Barak Raveh; Jerome M Karp; Samuel Sparks; Kaushik Dutta; Michael P Rout; Andrej Sali; David Cowburn
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

5.  Reparametrization of Protein Force Field Nonbonded Interactions Guided by Osmotic Coefficient Measurements from Molecular Dynamics Simulations.

Authors:  Mark S Miller; Wesley K Lay; Shuxiang Li; William C Hacker; Jiadi An; Jianlan Ren; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2017-03-27       Impact factor: 6.006

6.  An Efficient Method for Estimating the Hydrodynamic Radius of Disordered Protein Conformations.

Authors:  Mads Nygaard; Birthe B Kragelund; Elena Papaleo; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2017-08-08       Impact factor: 4.033

7.  Sequence Effects on Size, Shape, and Structural Heterogeneity in Intrinsically Disordered Proteins.

Authors:  Upayan Baul; Debayan Chakraborty; Mauro L Mugnai; John E Straub; D Thirumalai
Journal:  J Phys Chem B       Date:  2019-04-15       Impact factor: 2.991

8.  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

Review 9.  Advances in free-energy-based simulations of protein folding and ligand binding.

Authors:  Alberto Perez; Joseph A Morrone; Carlos Simmerling; Ken A Dill
Journal:  Curr Opin Struct Biol       Date:  2016-01-07       Impact factor: 6.809

10.  Maximum Entropy Optimized Force Field for Intrinsically Disordered Proteins.

Authors:  Andrew P Latham; Bin Zhang
Journal:  J Chem Theory Comput       Date:  2019-12-13       Impact factor: 6.006

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