Literature DB >> 18698702

Systematic comparison of empirical forcefields for molecular dynamic simulation of insulin.

Nevena Todorova1, F Sue Legge, Herbert Treutlein, Irene Yarovsky.   

Abstract

The use of atomistic simulation methodologies based on empirical forcefields has enhanced our understanding of many physical processes governing protein structure and dynamics. However, the forcefields used in classical modeling studies are often designed for a particular class of proteins and rely on continuous improvement and validation by comparison of simulations with experimental data. We present a comprehensive comparison of five popular forcefields for simulating insulin. The effect of each forcefield on the conformational evolution and structural properties of the peptide is analyzed in detail and compared with available experimental results. In this study we observed that different forcefields favor different structural trends. However, the all-atom forcefield CHARMM27 and the united-atom forcefield GROMOS 43A1 delivered the best representation of the experimentally observed dynamic behavior of chain B of insulin.

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Year:  2008        PMID: 18698702     DOI: 10.1021/jp076825d

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


  12 in total

1.  Effect of computational methodology on the conformational dynamics of the protein photosensor LOV1 from Chlamydomonas reinhardtii.

Authors:  Emanuel Peter; Bernhard Dick; Stephan A Baeurle
Journal:  J Chem Biol       Date:  2011-03-11

Review 2.  Nanomaterials in biological environment: a review of computer modelling studies.

Authors:  A J Makarucha; N Todorova; I Yarovsky
Journal:  Eur Biophys J       Date:  2010-12-14       Impact factor: 1.733

3.  Side-chain hydrophobicity and the stability of Aβ₁₆₋₂₂ aggregates.

Authors:  Workalemahu M Berhanu; Ulrich H E Hansmann
Journal:  Protein Sci       Date:  2012-12       Impact factor: 6.725

4.  Elucidating the locking mechanism of peptides onto growing amyloid fibrils through transition path sampling.

Authors:  Marieke Schor; Jocelyne Vreede; Peter G Bolhuis
Journal:  Biophys J       Date:  2012-09-19       Impact factor: 4.033

5.  Signals of LOV1: a computer simulation study on the wildtype LOV1-domain of Chlamydomonas reinhardtii and its mutants.

Authors:  Emanuel Peter; Bernhard Dick; Stephan A Baeurle
Journal:  J Mol Model       Date:  2011-07-15       Impact factor: 1.810

6.  Comparison of the structural characteristics of Cu(2+)-bound and unbound α-syn12 peptide obtained in simulations using different force fields.

Authors:  Zanxia Cao; Lei Liu; Liling Zhao; Haiyan Li; Jihua Wang
Journal:  J Mol Model       Date:  2012-11-18       Impact factor: 1.810

7.  Mechanism of signal transduction of the LOV2-Jα photosensor from Avena sativa.

Authors:  Emanuel Peter; Bernhard Dick; Stephan A Baeurle
Journal:  Nat Commun       Date:  2010-11-16       Impact factor: 14.919

8.  Molecular dynamics simulations of pro-apoptotic BH3 peptide helices in aqueous medium: relationship between helix stability and their binding affinities to the anti-apoptotic protein Bcl-X(L).

Authors:  Dilraj Lama; Ramasubbu Sankararamakrishnan
Journal:  J Comput Aided Mol Des       Date:  2011-04-27       Impact factor: 3.686

9.  Exploring the binding sites and proton diffusion on insulin amyloid fibril surfaces by naphthol-based photoacid fluorescence and molecular simulations.

Authors:  Nadav Amdursky; M Harunur Rashid; Molly M Stevens; Irene Yarovsky
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

10.  Secondary Structure of Rat and Human Amylin across Force Fields.

Authors:  Kyle Quynn Hoffmann; Michael McGovern; Chi-Cheng Chiu; Juan J de Pablo
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

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