Literature DB >> 17166043

Viral structural transitions: an all-atom multiscale theory.

Yinglong Miao1, Peter J Ortoleva.   

Abstract

An all-atom theory of viral structural transitions (STs) is developed based on a multiscale analysis of the N-atom Liouville equation. The approach yields an understanding of viral STs from first principles and a calibrated interatomic force field. To carry out the multiscale analysis, we introduce slow variables characterizing the whole-virus dynamics. Use of the "nanocanonical ensemble" technique and the fundamental hypothesis of statistical mechanics (i.e., the equivalence of long-time and ensemble averages) is shown to imply a Fokker-Planck equation yielding the coarse-grained evolution of the slow variables. As viral STs occur on long time scales, transition state theory is used to estimate the energy barrier of transition between free energy wells implied by observed hysteresis in viral STs. Its application to Nudaurelia capensis omega virus provides an upper bound on the free energy barrier when a single dilatational order parameter is used. The long time scale of viral STs is shown to follow from the aggregate effect of inertia, energy barrier, and entropic effects. Our formulation can be generalized for multiple order parameter models to account for lower free energy barrier pathways for transition. The theory with its all-atom description can be applied to nonviral nanoparticles as well.

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Year:  2006        PMID: 17166043     DOI: 10.1063/1.2400858

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  13 in total

1.  Hierarchical Order Parameters for Macromolecular Assembly Simulations I: Construction and Dynamical Properties of Order Parameters.

Authors:  Abhishek Singharoy; Yuriy Sereda; Peter J Ortoleva
Journal:  J Chem Theory Comput       Date:  2012-03-13       Impact factor: 6.006

2.  Multiscaling for systems with a broad continuum of characteristic lengths and times: Structural transitions in nanocomposites.

Authors:  S Pankavich; P Ortoleva
Journal:  J Math Phys       Date:  2010-06-28       Impact factor: 1.488

3.  Multiscale analytic continuation approach to nanosystem simulation: applications to virus electrostatics.

Authors:  Abhishek Singharoy; Anastasia M Yesnik; Peter Ortoleva
Journal:  J Chem Phys       Date:  2010-05-07       Impact factor: 3.488

4.  Stochastic dynamics of bionanosystems: Multiscale analysis and specialized ensembles.

Authors:  S Pankavich; Y Miao; J Ortoleva; Z Shreif; P Ortoleva
Journal:  J Chem Phys       Date:  2008-06-21       Impact factor: 3.488

5.  Order parameters for macromolecules: application to multiscale simulation.

Authors:  A Singharoy; S Cheluvaraja; P Ortoleva
Journal:  J Chem Phys       Date:  2011-01-28       Impact factor: 3.488

6.  Nanosystem self-assembly pathways discovered via all-atom multiscale analysis.

Authors:  Stephen D Pankavich; Peter J Ortoleva
Journal:  J Phys Chem B       Date:  2012-03-21       Impact factor: 2.991

7.  Gaussian Accelerated Molecular Dynamics: Theory, Implementation, and Applications.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Annu Rep Comput Chem       Date:  2017-08-10

8.  All-atom multiscale simulation of cowpea chlorotic mottle virus capsid swelling.

Authors:  Yinglong Miao; John E Johnson; Peter J Ortoleva
Journal:  J Phys Chem B       Date:  2010-09-02       Impact factor: 2.991

9.  Hierarchical Multiscale Modeling of Macromolecules and their Assemblies.

Authors:  P Ortoleva; A Singharoy; S Pankavich
Journal:  Soft Matter       Date:  2013-04-28       Impact factor: 3.679

10.  Molecular dynamics/order parameter extrapolation for bionanosystem simulations.

Authors:  Yinglong Miao; Peter J Ortoleva
Journal:  J Comput Chem       Date:  2009-02       Impact factor: 3.376

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