Literature DB >> 21845272

Influence of water-protein hydrogen bonding on the stability of Trp-cage miniprotein. A comparison between the TIP3P and TIP4P-Ew water models.

Dietmar Paschek1, Ryan Day, Angel E García.   

Abstract

We report extensive replica exchange molecular dynamics (REMD) simulations on the folding/unfolding equilibrium of Trp-cage miniprotein using the Amber ff99SB all atom forcefield and TIP3P and TIP4P-Ew explicit water solvent models. REMD simulation-lengths in the 500 ns to the microsecond regime per replica are required to adequately sample the folding/unfolding equilibrium. We observe that this equilibrium is significantly affected by the choice of the water model. Compared with experimental data, simulations using the TIP3P solvent describe the stability of the Trp-cage quite realistically, providing a melting point which is just a few Kelvins above the experimental transition temperature of 317 K. The TIP4P-Ew model shifts the equilibrium towards the unfolded state and lowers the free energy of unfolding by about 3 kJ mol(-1) at 280 K, demonstrating the need to fine-tune the protein-forcefield depending on the chosen water model. We report evidence that the main difference between the two water models is mostly due to the different solvation of polar groups of the peptide. The unfolded state of the Trp-cage is stabilized by an increasing number of hydrogen bonds, destabilizing the α-helical part of the molecule and opening the R-D salt bridge. By reweighting the strength of solvent-peptide hydrogen bonds by adding a hydrogen bond square well potential, we can fully recover the effect of the different water models and estimate the shift in population as due to a difference in hydrogen bond-strength of about 0.4 kJ mol(-1) per hydrogen bond.

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Year:  2011        PMID: 21845272     DOI: 10.1039/c1cp22110h

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  14 in total

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Authors:  Neelam Keshwani; Shounak Banerjee; Barbara Brodsky; George I Makhatadze
Journal:  Biophys J       Date:  2013-10-01       Impact factor: 4.033

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.  Correlation analysis for heat denaturation of Trp-cage miniprotein with explicit solvent.

Authors:  Fumitaka Kamo; Ryosuke Ishizuka; Nobuyuki Matubayasi
Journal:  Protein Sci       Date:  2015-08-06       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.  Reliable oligonucleotide conformational ensemble generation in explicit solvent for force field assessment using reservoir replica exchange molecular dynamics simulations.

Authors:  Niel M Henriksen; Daniel R Roe; Thomas E Cheatham
Journal:  J Phys Chem B       Date:  2013-04-04       Impact factor: 2.991

6.  Mesophilic Pyrophosphatase Function at High Temperature: A Molecular Dynamics Simulation Study.

Authors:  Rupesh Agarwal; Utsab R Shrestha; Xiang-Qiang Chu; Loukas Petridis; Jeremy C Smith
Journal:  Biophys J       Date:  2020-05-29       Impact factor: 4.033

7.  Effect of surfactant hydrophobicity on the pathway for unfolding of ubiquitin.

Authors:  Bryan F Shaw; Grégory F Schneider; George M Whitesides
Journal:  J Am Chem Soc       Date:  2012-10-31       Impact factor: 15.419

8.  Further along the Road Less Traveled: AMBER ff15ipq, an Original Protein Force Field Built on a Self-Consistent Physical Model.

Authors:  Karl T Debiec; David S Cerutti; Lewis R Baker; Angela M Gronenborn; David A Case; Lillian T Chong
Journal:  J Chem Theory Comput       Date:  2016-07-22       Impact factor: 6.006

9.  Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Authors:  Michael Feig; Isseki Yu; Po-Hung Wang; Grzegorz Nawrocki; Yuji Sugita
Journal:  J Phys Chem B       Date:  2017-07-12       Impact factor: 2.991

10.  Combining coarse-grained protein models with replica-exchange all-atom molecular dynamics.

Authors:  Jacek Wabik; Sebastian Kmiecik; Dominik Gront; Maksim Kouza; Andrzej Koliński
Journal:  Int J Mol Sci       Date:  2013-05-10       Impact factor: 5.923

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