Literature DB >> 26617103

Explicit Water Models Affect the Specific Solvation and Dynamics of Unfolded Peptides While the Conformational Behavior and Flexibility of Folded Peptides Remain Intact.

Petra Florová1, Petr Sklenovský1, Pavel Banáš1, Michal Otyepka1.   

Abstract

Conventional molecular dynamics simulations on 50 ns to 1 μs time scales were used to study the effects of explicit solvent models on the conformational behavior and solvation of two oligopeptide solutes: α-helical EK-peptide (14 amino acids) and a β-hairpin chignolin (10 amino acids). The widely used AMBER force fields (ff99, ff99SB, and ff03) were combined with four of the most commonly used explicit solvent models (TIP3P, TIP4P, TIP5P, and SPC/E). Significant differences in the specific solvation of chignolin among the studied water models were identified. Chignolin was highly solvated in TIP5P, whereas reduced specific solvation was found in the TIP4P, SPC/E, and TIP3P models for kinetic, thermodynamic, and both kinetic and thermodynamic reasons, respectively. The differences in specific solvation did not influence the dynamics of structured parts of the folded peptide. However, substantial differences between TIP5P and the other models were observed in the dynamics of unfolded chignolin, stability of salt bridges, and specific solvation of the backbone carbonyls of EK-peptide. Thus, we conclude that the choice of water model may affect the dynamics of flexible parts of proteins that are solvent-exposed. On the other hand, all water models should perform similarly for well-structured folded protein regions. The merits of the TIP3P model include its high and overestimated mobility, which accelerates simulation processes and thus effectively increases sampling.

Entities:  

Year:  2010        PMID: 26617103     DOI: 10.1021/ct1003687

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


  24 in total

1.  Structural Characterization of λ-Repressor Folding from All-Atom Molecular Dynamics Simulations.

Authors:  Yanxin Liu; Johan Strümpfer; Peter L Freddolino; Martin Gruebele; Klaus Schulten
Journal:  J Phys Chem Lett       Date:  2012-04-11       Impact factor: 6.475

2.  Validating solution ensembles from molecular dynamics simulation by wide-angle X-ray scattering data.

Authors:  Po-Chia Chen; Jochen S Hub
Journal:  Biophys J       Date:  2014-07-15       Impact factor: 4.033

3.  Refinement of Peptide Conformational Ensembles by 2D IR Spectroscopy: Application to Ala‒Ala‒Ala.

Authors:  Chi-Jui Feng; Balamurugan Dhayalan; Andrei Tokmakoff
Journal:  Biophys J       Date:  2018-06-19       Impact factor: 4.033

4.  Molecular mechanism of preQ1 riboswitch action: a molecular dynamics study.

Authors:  Pavel Banáš; Petr Sklenovský; Joseph E Wedekind; Jiří Šponer; Michal Otyepka
Journal:  J Phys Chem B       Date:  2012-10-12       Impact factor: 2.991

5.  Force-field dependence of chignolin folding and misfolding: comparison with experiment and redesign.

Authors:  Petra Kührová; Alfonso De Simone; Michal Otyepka; Robert B Best
Journal:  Biophys J       Date:  2012-04-18       Impact factor: 4.033

6.  The dynamics of peptide-water interactions in dialanine: An ultrafast amide I 2D IR and computational spectroscopy study.

Authors:  Chi-Jui Feng; Andrei Tokmakoff
Journal:  J Chem Phys       Date:  2017-08-28       Impact factor: 3.488

7.  Unraveling cellulose microfibrils: a twisted tale.

Authors:  Jodi A Hadden; Alfred D French; Robert J Woods
Journal:  Biopolymers       Date:  2013-10       Impact factor: 2.505

8.  Estimation of Hydrogen-Exchange Protection Factors from MD Simulation Based on Amide Hydrogen Bonding Analysis.

Authors:  In-Hee Park; John D Venable; Caitlin Steckler; Susan E Cellitti; Scott A Lesley; Glen Spraggon; Ansgar Brock
Journal:  J Chem Inf Model       Date:  2015-08-20       Impact factor: 4.956

9.  Artocarpus altilis CG-901 alters critical nodes in the JH1-kinase domain of Janus kinase 2 affecting upstream JAK/STAT3 signaling.

Authors:  Oyekanmi Nash; Olaposi Omotuyi; Joonku Lee; Byoung-Mog Kwon; Lucy Ogbadu
Journal:  J Mol Model       Date:  2015-10-07       Impact factor: 1.810

10.  Correlations in liquid water for the TIP3P-Ewald, TIP4P-2005, TIP5P-Ewald, and SWM4-NDP models.

Authors:  David J Huggins
Journal:  J Chem Phys       Date:  2012-02-14       Impact factor: 3.488

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.