Literature DB >> 17693469

Coarse-grained biomolecular simulation with REACH: realistic extension algorithm via covariance Hessian.

Kei Moritsugu1, Jeremy C Smith.   

Abstract

Coarse-graining of protein interactions provides a means of simulating large biological systems. Here, a coarse-graining method, REACH, is introduced, in which the force constants of a residue-scale elastic network model are calculated from the variance-covariance matrix obtained from atomistic molecular dynamics (MD) simulation. In test calculations, the C(alpha)-atoms variance-covariance matrices are calculated from the ensembles of 1-ns atomistic MD trajectories in monomeric and dimeric myoglobin, and used to derive coarse-grained force constants for the local and nonbonded interactions. Construction of analytical model functions of the distance-dependence of the interresidue force constants allows rapid calculation of the REACH normal modes. The model force constants from monomeric and dimeric myoglobin are found to be similar in magnitude to each other. The MD intra- and intermolecular mean-square fluctuations and the vibrational density of states are well reproduced by the residue-scale REACH normal modes without requiring rescaling of the force constant parameters. The temperature-dependence of the myoglobin REACH force constants reveals that the dynamical transition in protein internal fluctuations arises principally from softening of the elasticity in the nonlocal interactions. The REACH method is found to be a reliable way of determining spatiotemporal protein motion without the need for expensive computations of long atomistic MD simulations.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17693469      PMCID: PMC2072085          DOI: 10.1529/biophysj.107.111898

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  50 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Structural principles governing domain motions in proteins.

Authors:  S Hayward
Journal:  Proteins       Date:  1999-09-01

Review 3.  How soft is a protein? A protein dynamics force constant measured by neutron scattering.

Authors:  G Zaccai
Journal:  Science       Date:  2000-06-02       Impact factor: 47.728

4.  Probing the local dynamics of nucleotide-binding pocket coupled to the global dynamics: myosin versus kinesin.

Authors:  Wenjun Zheng; Bernard R Brooks
Journal:  Biophys J       Date:  2005-05-06       Impact factor: 4.033

5.  Reorientational contact-weighted elastic network model for the prediction of protein dynamics: comparison with NMR relaxation.

Authors:  Dengming Ming; Rafael Brüschweiler
Journal:  Biophys J       Date:  2006-02-24       Impact factor: 4.033

6.  Can principal components yield a dimension reduced description of protein dynamics on long time scales?

Authors:  Oliver F Lange; Helmut Grubmüller
Journal:  J Phys Chem B       Date:  2006-11-16       Impact factor: 2.991

7.  Temperature-dependent protein dynamics: a simulation-based probabilistic diffusion-vibration Langevin description.

Authors:  Kei Moritsugu; Jeremy C Smith
Journal:  J Phys Chem B       Date:  2006-03-23       Impact factor: 2.991

8.  The energy landscapes and motions of proteins.

Authors:  H Frauenfelder; S G Sligar; P G Wolynes
Journal:  Science       Date:  1991-12-13       Impact factor: 47.728

Review 9.  Computational approaches to molecular recognition.

Authors:  M L Lamb; W L Jorgensen
Journal:  Curr Opin Chem Biol       Date:  1997-12       Impact factor: 8.822

Review 10.  Insights into enzyme function from studies on mutants of dihydrofolate reductase.

Authors:  S J Benkovic; C A Fierke; A M Naylor
Journal:  Science       Date:  1988-03-04       Impact factor: 47.728

View more
  31 in total

1.  Substrate-modulated thermal fluctuations affect long-range allosteric signaling in protein homodimers: exemplified in CAP.

Authors:  Hedvika Toncrova; Tom C B McLeish
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

2.  Characterizing protein energy landscape by self-learning multiscale simulations: application to a designed β-hairpin.

Authors:  Wenfei Li; Shoji Takada
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

3.  Sequence composition and environment effects on residue fluctuations in protein structures.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

4.  Interaction energy based protein structure networks.

Authors:  M S Vijayabaskar; Saraswathi Vishveshwara
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

5.  Systematic multiscale parameterization of heterogeneous elastic network models of proteins.

Authors:  Edward Lyman; Jim Pfaendtner; Gregory A Voth
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

6.  Application of elastic network models to proteins in the crystalline state.

Authors:  Demian Riccardi; Qiang Cui; George N Phillips
Journal:  Biophys J       Date:  2009-01       Impact factor: 4.033

7.  REACH coarse-grained normal mode analysis of protein dimer interaction dynamics.

Authors:  Kei Moritsugu; Vandana Kurkal-Siebert; Jeremy C Smith
Journal:  Biophys J       Date:  2009-08-19       Impact factor: 4.033

8.  Gating mechanisms of mechanosensitive channels of large conductance, II: systematic study of conformational transitions.

Authors:  Yuye Tang; Jejoong Yoo; Arun Yethiraj; Qiang Cui; Xi Chen
Journal:  Biophys J       Date:  2008-04-04       Impact factor: 4.033

Review 9.  Normal mode analysis of biomolecular structures: functional mechanisms of membrane proteins.

Authors:  Ivet Bahar; Timothy R Lezon; Ahmet Bakan; Indira H Shrivastava
Journal:  Chem Rev       Date:  2010-03-10       Impact factor: 60.622

10.  Multiscale design of coarse-grained elastic network-based potentials for the μ opioid receptor.

Authors:  Mathieu Fossépré; Laurence Leherte; Aatto Laaksonen; Daniel P Vercauteren
Journal:  J Mol Model       Date:  2016-08-26       Impact factor: 1.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.