Literature DB >> 19816993

Protein flexibility from discrete molecular dynamics simulations using quasi-physical potentials.

Agustí Emperador1, Tim Meyer, Modesto Orozco.   

Abstract

We have applied all atoms discrete molecular dynamics (DMD) based on a quasi-physical potential to study the flexibility of an extended set of proteins for which atomistic MD simulations are available. The method uses pure physical potentials supplemented by information on secondary structure and despite its simplicity is able to reproduce with good accuracy the dynamics of proteins in solution. The method presents a clear improvement with respect to coarse-grained methods based on structure potentials and opens the possibility to explore dynamics of proteins out from the equilibrium and to trace conformational changes induced by interaction of proteins with both small and macromolecular ligands. (c) 2009 Wiley-Liss, Inc.

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Year:  2010        PMID: 19816993     DOI: 10.1002/prot.22563

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  10 in total

1.  Discrete molecular dynamics: an efficient and versatile simulation method for fine protein characterization.

Authors:  David Shirvanyants; Feng Ding; Douglas Tsao; Srinivas Ramachandran; Nikolay V Dokholyan
Journal:  J Phys Chem B       Date:  2012-02-10       Impact factor: 2.991

2.  Submillisecond elastic recoil reveals molecular origins of fibrin fiber mechanics.

Authors:  Nathan E Hudson; Feng Ding; Igal Bucay; E Timothy O'Brien; Oleg V Gorkun; Richard Superfine; Susan T Lord; Nikolay V Dokholyan; Michael R Falvo
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

3.  Stability tests on known and misfolded structures with discrete and all atom molecular dynamics simulations.

Authors:  Sijung Yun; H Robert Guy
Journal:  J Mol Graph Model       Date:  2010-12-13       Impact factor: 2.518

4.  Dancing through Life: Molecular Dynamics Simulations and Network-Centric Modeling of Allosteric Mechanisms in Hsp70 and Hsp110 Chaperone Proteins.

Authors:  Gabrielle Stetz; Gennady M Verkhivker
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

5.  Ensemble Switching Unveils a Kinetic Rheostat Mechanism of the Eukaryotic Thiamine Pyrophosphate Riboswitch.

Authors:  Junyan Ma; Nabanita Saikia; Subash Godar; George L Hamilton; Feng Ding; Joshua Alper; Hugo Sanabria
Journal:  RNA       Date:  2021-04-16       Impact factor: 4.942

6.  Accurate Description of Protein-Protein Recognition and Protein Aggregation with the Implicit-Solvent-Based PACSAB Protein Model.

Authors:  Agustí Emperador
Journal:  Polymers (Basel)       Date:  2021-11-29       Impact factor: 4.329

7.  COGRIMEN: Coarse-Grained Method for Modeling of Membrane Proteins in Implicit Environments.

Authors:  Przemysław Miszta; Paweł Pasznik; Szymon Niewieczerzał; Krzysztof Młynarczyk; Sławomir Filipek
Journal:  J Chem Theory Comput       Date:  2022-08-23       Impact factor: 6.578

8.  Allosteric regulation of the Hsp90 dynamics and stability by client recruiter cochaperones: protein structure network modeling.

Authors:  Kristin Blacklock; Gennady M Verkhivker
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

9.  Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.

Authors:  Gabrielle Stetz; Amanda Tse; Gennady M Verkhivker
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

Review 10.  Modeling the Dynamics of Protein-Protein Interfaces, How and Why?

Authors:  Ezgi Karaca; Chantal Prévost; Sophie Sacquin-Mora
Journal:  Molecules       Date:  2022-03-11       Impact factor: 4.411

  10 in total

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