Literature DB >> 26009297

Opening mechanism of adenylate kinase can vary according to selected molecular dynamics force field.

Hulya Unan1, Ahmet Yildirim, Mustafa Tekpinar.   

Abstract

Adenylate kinase is a widely used test case for many conformational transition studies. It performs a large conformational transition between closed and open conformations while performing its catalytic function. To understand conformational transition mechanism and impact of force field choice on E. Coli adenylate kinase, we performed all-atom explicit solvent classical molecular dynamics simulations starting from the closed conformation with four commonly used force fields, namely, Amber99, Charmm27, Gromos53a6, Opls-aa. We carried out 40 simulations, each one 200 ns. We analyzed completely 12 of them that show full conformational transition from the closed state to the open one. Our study shows that different force fields can have a bias toward different transition pathways. Transition time scales, frequency of conformational transitions, order of domain motions and free energy landscapes of each force field may also vary. In general, Amber99 and Charmm27 behave similarly while Gromos53a6 results have a resemblance to the Opls-aa force field results.

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Year:  2015        PMID: 26009297     DOI: 10.1007/s10822-015-9849-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  51 in total

1.  Escherichia coli adenylate kinase dynamics: comparison of elastic network model modes with mode-coupling (15)N-NMR relaxation data.

Authors:  N Alpay Temiz; Eva Meirovitch; Ivet Bahar
Journal:  Proteins       Date:  2004-11-15

2.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

3.  Exploring transition pathway and free-energy profile of large-scale protein conformational change by combining normal mode analysis and umbrella sampling molecular dynamics.

Authors:  Jinan Wang; Qiang Shao; Zhijian Xu; Yingtao Liu; Zhuo Yang; Benjamin P Cossins; Hualiang Jiang; Kaixian Chen; Jiye Shi; Weiliang Zhu
Journal:  J Phys Chem B       Date:  2013-12-26       Impact factor: 2.991

4.  Activation energy of catalysis-related domain motion in E. coli adenylate kinase.

Authors:  Yury E Shapiro; Eva Meirovitch
Journal:  J Phys Chem B       Date:  2006-06-15       Impact factor: 2.991

5.  Structure of a mutant adenylate kinase ligated with an ATP-analogue showing domain closure over ATP.

Authors:  G J Schlauderer; K Proba; G E Schulz
Journal:  J Mol Biol       Date:  1996-02-23       Impact factor: 5.469

6.  Large-scale allosteric conformational transitions of adenylate kinase appear to involve a population-shift mechanism.

Authors:  Karunesh Arora; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-13       Impact factor: 11.205

7.  The atomistic mechanism of conformational transition in adenylate kinase: a TEE-REX molecular dynamics study.

Authors:  Marcus B Kubitzki; Bert L de Groot
Journal:  Structure       Date:  2008-08-06       Impact factor: 5.006

8.  Conformational dynamics of a ligand-free adenylate kinase.

Authors:  Hyun Deok Song; Fangqiang Zhu
Journal:  PLoS One       Date:  2013-07-05       Impact factor: 3.240

9.  Exploring the conformational transitions of biomolecular systems using a simple two-state anisotropic network model.

Authors:  Avisek Das; Mert Gur; Mary Hongying Cheng; Sunhwan Jo; Ivet Bahar; Benoît Roux
Journal:  PLoS Comput Biol       Date:  2014-04-03       Impact factor: 4.475

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  3 in total

1.  Validating Molecular Dynamics Simulations against Experimental Observables in Light of Underlying Conformational Ensembles.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  J Phys Chem B       Date:  2018-06-21       Impact factor: 2.991

2.  The Mutational Landscape of the Oncogenic MZF1 SCAN Domain in Cancer.

Authors:  Mads Nygaard; Thilde Terkelsen; André Vidas Olsen; Valentina Sora; Juan Salamanca Viloria; Fabio Rizza; Sanne Bergstrand-Poulsen; Miriam Di Marco; Mette Vistesen; Matteo Tiberti; Matteo Lambrughi; Marja Jäättelä; Tuula Kallunki; Elena Papaleo
Journal:  Front Mol Biosci       Date:  2016-12-15

3.  Probing the Transition State in Enzyme Catalysis by High-Pressure NMR Dynamics.

Authors:  John B Stiller; S Jordan Kerns; Marc Hoemberger; Young-Jin Cho; Renee Otten; Michael F Hagan; Dorothee Kern
Journal:  Nat Catal       Date:  2019-06-24
  3 in total

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