Literature DB >> 19256587

Resampling improves the efficiency of a "fast-switch" equilibrium sampling protocol.

Edward Lyman1, Daniel M Zuckerman.   

Abstract

We recently applied a multistage reweighting scheme to demonstrate the sampling of equilibrium configurational distributions of peptides from nonequilibrium, simulated annealing trajectories [E. Lyman and D. M. Zuckerman, J. Chem. Phys. 127, 065101 (2007)]. Here we demonstrate that a statistical variance reduction technique, resampling, improves the efficiency of the protocol by about a factor of 3 in a penta-alanine system. While we are not optimistic for the ultimate efficiency of purely temperature-based sampling methods, resampling-type improvements ought to find application in other (formally equivalent) nonequilibrium sampling protocols, such as Jarzynski-relation calculations and annealing-based NMR structure calculations.

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Year:  2009        PMID: 19256587      PMCID: PMC2671214          DOI: 10.1063/1.3081626

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


  4 in total

1.  On the structural convergence of biomolecular simulations by determination of the effective sample size.

Authors:  Edward Lyman; Daniel M Zuckerman
Journal:  J Phys Chem B       Date:  2007-10-13       Impact factor: 2.991

2.  A Second Look at Canonical Sampling of Biomolecules using Replica Exchange Simulation.

Authors:  Daniel M Zuckerman; Edward Lyman
Journal:  J Chem Theory Comput       Date:  2006       Impact factor: 6.006

3.  A statistical analysis of the precision of reweighting-based simulations.

Authors:  Tongye Shen; Donald Hamelberg
Journal:  J Chem Phys       Date:  2008-07-21       Impact factor: 3.488

4.  Annealed importance sampling of peptides.

Authors:  Edward Lyman; Daniel M Zuckerman
Journal:  J Chem Phys       Date:  2007-08-14       Impact factor: 3.488

  4 in total
  5 in total

1.  Rapid sampling of all-atom peptides using a library-based polymer-growth approach.

Authors:  Artem B Mamonov; Xin Zhang; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2010-08-23       Impact factor: 3.376

2.  Accelerating molecular Monte Carlo simulations using distance and orientation-dependent energy tables: tuning from atomistic accuracy to smoothed "coarse-grained" models.

Authors:  Steven Lettieri; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2011-11-25       Impact factor: 3.376

Review 3.  Equilibrium sampling in biomolecular simulations.

Authors:  Daniel M Zuckerman
Journal:  Annu Rev Biophys       Date:  2011       Impact factor: 12.981

4.  Extending fragment-based free energy calculations with library Monte Carlo simulation: annealing in interaction space.

Authors:  Steven Lettieri; Artem B Mamonov; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2010-11-29       Impact factor: 3.376

5.  Enhancing Ligand and Protein Sampling Using Sequential Monte Carlo.

Authors:  Miroslav Suruzhon; Michael S Bodnarchuk; Antonella Ciancetta; Ian D Wall; Jonathan W Essex
Journal:  J Chem Theory Comput       Date:  2022-05-19       Impact factor: 6.578

  5 in total

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