Literature DB >> 22105881

Longer simulations sample larger subspaces of conformations while maintaining robust mechanisms of motion.

Lin Liu1, Angela M Gronenborn, Ivet Bahar.   

Abstract

Recent studies suggest that protein motions observed in molecular simulations are related to biochemical activities, although the computed time scales do not necessarily match those of the experimentally observed processes. The molecular origin of this conflicting observation is explored here for a test protein, cyanovirin-N (CV-N), through a series of molecular dynamics simulations that span a time range of three orders of magnitude up to 0.4 μs. Strikingly, increasing the simulation time leads to an approximately uniform amplification of the motional sizes, while maintaining the same conformational mechanics. Residue fluctuations exhibit amplitudes of 1-2 Å in the nanosecond simulations, whereas their average sizes increase by a factor of 4-5 in the microsecond regime. The mean-square displacements averaged over all residues (y) exhibit a power law dependence of the form y ∝ x(0.26) on the simulation time (x). Essential dynamics analysis of the trajectories, on the other hand, demonstrates that CV-N has robust preferences to undergo specific types of motions that already can be detected at short simulation times, provided that multiple runs are performed and carefully analyzed.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Keywords:  equilibrium fluctuations of cyanovirin-N; global motions; molecular dynamics simulations; power law; structure-encoded dynamics

Mesh:

Substances:

Year:  2011        PMID: 22105881      PMCID: PMC3290687          DOI: 10.1002/prot.23225

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


  56 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-18       Impact factor: 11.205

Review 2.  Molecular dynamics simulations of biomolecules.

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4.  Watching hydrogen-bond dynamics in a beta-turn by transient two-dimensional infrared spectroscopy.

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5.  Structural analysis of protein dynamics by MD simulations and NMR spin-relaxation.

Authors:  Nikola Trbovic; Byungchan Kim; Richard A Friesner; Arthur G Palmer
Journal:  Proteins       Date:  2008-05-01

6.  How main-chains of proteins explore the free-energy landscape in native states.

Authors:  Patrick Senet; Gia G Maisuradze; Colette Foulie; Patrice Delarue; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-10       Impact factor: 11.205

7.  Dynamic distance disorder in proteins is caused by trapping.

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8.  Anti-HIV activity of defective cyanovirin-N mutants is restored by dimerization.

Authors:  Elena Matei; Andrew Zheng; William Furey; Jeremy Rose; Christopher Aiken; Angela M Gronenborn
Journal:  J Biol Chem       Date:  2010-02-10       Impact factor: 5.157

Review 9.  Global dynamics of proteins: bridging between structure and function.

Authors:  Ivet Bahar; Timothy R Lezon; Lee-Wei Yang; Eran Eyal
Journal:  Annu Rev Biophys       Date:  2010       Impact factor: 12.981

10.  Modeling conformational ensembles of slow functional motions in Pin1-WW.

Authors:  Faruck Morcos; Santanu Chatterjee; Christopher L McClendon; Paul R Brenner; Roberto López-Rendón; John Zintsmaster; Maria Ercsey-Ravasz; Christopher R Sweet; Matthew P Jacobson; Jeffrey W Peng; Jesús A Izaguirre
Journal:  PLoS Comput Biol       Date:  2010-12-02       Impact factor: 4.475

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  8 in total

1.  Anomalous diffusion and dynamical correlation between the side chains and the main chain of proteins in their native state.

Authors:  Yoann Cote; Patrick Senet; Patrice Delarue; Gia G Maisuradze; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-11       Impact factor: 11.205

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3.  Global motions exhibited by proteins in micro- to milliseconds simulations concur with anisotropic network model predictions.

Authors:  M Gur; E Zomot; I Bahar
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

4.  Lightweight object oriented structure analysis: tools for building tools to analyze molecular dynamics simulations.

Authors:  Tod D Romo; Nicholas Leioatts; Alan Grossfield
Journal:  J Comput Chem       Date:  2014-10-18       Impact factor: 3.376

5.  Elastic Network Models are Robust to Variations in Formalism.

Authors:  Nicholas Leioatts; Tod D Romo; Alan Grossfield
Journal:  J Chem Theory Comput       Date:  2012-06-05       Impact factor: 6.006

6.  Difference contact maps: From what to why in the analysis of the conformational flexibility of proteins.

Authors:  Mallika Iyer; Zhanwen Li; Lukasz Jaroszewski; Mayya Sedova; Adam Godzik
Journal:  PLoS One       Date:  2020-03-12       Impact factor: 3.240

7.  Dynamic fluctuations provide the basis of a conformational switch mechanism in apo cyclic AMP receptor protein.

Authors:  Burcu Aykaç Fas; Yusuf Tutar; Türkan Haliloğlu
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

8.  Relative Contributions of Solubility and Mobility to the Stability of Amorphous Solid Dispersions of Poorly Soluble Drugs: A Molecular Dynamics Simulation Study.

Authors:  Michael Brunsteiner; Johannes Khinast; Amrit Paudel
Journal:  Pharmaceutics       Date:  2018-07-21       Impact factor: 6.321

  8 in total

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