Literature DB >> 25747056

Exact milestoning.

Juan M Bello-Rivas1, Ron Elber1.   

Abstract

A new theory and an exact computer algorithm for calculating kinetics and thermodynamic properties of a particle system are described. The algorithm avoids trapping in metastable states, which are typical challenges for Molecular Dynamics (MD) simulations on rough energy landscapes. It is based on the division of the full space into Voronoi cells. Prior knowledge or coarse sampling of space points provides the centers of the Voronoi cells. Short time trajectories are computed between the boundaries of the cells that we call milestones and are used to determine fluxes at the milestones. The flux function, an essential component of the new theory, provides a complete description of the statistical mechanics of the system at the resolution of the milestones. We illustrate the accuracy and efficiency of the exact Milestoning approach by comparing numerical results obtained on a model system using exact Milestoning with the results of long trajectories and with a solution of the corresponding Fokker-Planck equation. The theory uses an equation that resembles the approximate Milestoning method that was introduced in 2004 [A. K. Faradjian and R. Elber, J. Chem. Phys. 120(23), 10880-10889 (2004)]. However, the current formulation is exact and is still significantly more efficient than straightforward MD simulations on the system studied.

Mesh:

Year:  2015        PMID: 25747056      PMCID: PMC4352169          DOI: 10.1063/1.4913399

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


  34 in total

1.  Computing time scales from reaction coordinates by milestoning.

Authors:  Anton K Faradjian; Ron Elber
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

2.  Umbrella sampling for nonequilibrium processes.

Authors:  Aryeh Warmflash; Prabhakar Bhimalapuram; Aaron R Dinner
Journal:  J Chem Phys       Date:  2007-10-21       Impact factor: 3.488

3.  Coiled-coil response to mechanical force: global stability and local cracking.

Authors:  Steven M Kreuzer; Ron Elber
Journal:  Biophys J       Date:  2013-08-20       Impact factor: 4.033

4.  Analyzing milestoning networks for molecular kinetics: definitions, algorithms, and examples.

Authors:  Shruthi Viswanath; Steven M Kreuzer; Alfredo E Cardenas; Ron Elber
Journal:  J Chem Phys       Date:  2013-11-07       Impact factor: 3.488

5.  The "weighted ensemble" path sampling method is statistically exact for a broad class of stochastic processes and binning procedures.

Authors:  Bin W Zhang; David Jasnow; Daniel M Zuckerman
Journal:  J Chem Phys       Date:  2010-02-07       Impact factor: 3.488

6.  A local superbasin kinetic Monte Carlo method.

Authors:  Kristen A Fichthorn; Yangzheng Lin
Journal:  J Chem Phys       Date:  2013-04-28       Impact factor: 3.488

7.  Milestoning with coarse memory.

Authors:  Alexander T Hawk
Journal:  J Chem Phys       Date:  2013-04-21       Impact factor: 3.488

8.  Robust and efficient configurational molecular sampling via Langevin dynamics.

Authors:  Benedict Leimkuhler; Charles Matthews
Journal:  J Chem Phys       Date:  2013-05-07       Impact factor: 3.488

9.  Experiments and comprehensive simulations of the formation of a helical turn.

Authors:  Gouri S Jas; Wendy A Hegefeld; Peter Májek; Krzysztof Kuczera; Ron Elber
Journal:  J Phys Chem B       Date:  2012-03-06       Impact factor: 2.991

10.  How conformational dynamics of DNA polymerase select correct substrates: experiments and simulations.

Authors:  Serdal Kirmizialtin; Virginia Nguyen; Kenneth A Johnson; Ron Elber
Journal:  Structure       Date:  2012-04-03       Impact factor: 5.006

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  39 in total

1.  Simulations of thermodynamics and kinetics on rough energy landscapes with milestoning.

Authors:  Juan M Bello-Rivas; Ron Elber
Journal:  J Comput Chem       Date:  2015-08-12       Impact factor: 3.376

2.  Perspective: Computer simulations of long time dynamics.

Authors:  Ron Elber
Journal:  J Chem Phys       Date:  2016-02-14       Impact factor: 3.488

3.  Extracting intrinsic dynamic parameters of biomolecular folding from single-molecule force spectroscopy experiments.

Authors:  Gi-Moon Nam; Dmitrii E Makarov
Journal:  Protein Sci       Date:  2015-07-14       Impact factor: 6.725

4.  On approximating a weak Markovian process as Markovian: Are we justified when discarding longtime correlations.

Authors:  Kai-Yang Leong; Feng Wang
Journal:  J Chem Phys       Date:  2019-02-28       Impact factor: 3.488

5.  Galerkin approximation of dynamical quantities using trajectory data.

Authors:  Erik H Thiede; Dimitrios Giannakis; Aaron R Dinner; Jonathan Weare
Journal:  J Chem Phys       Date:  2019-06-28       Impact factor: 3.488

6.  Committors, first-passage times, fluxes, Markov states, milestones, and all that.

Authors:  Alexander M Berezhkovskii; Attila Szabo
Journal:  J Chem Phys       Date:  2019-02-07       Impact factor: 3.488

7.  Exploring the Reaction Mechanism of HIV Reverse Transcriptase with a Nucleotide Substrate.

Authors:  Hao Wang; Nathan Huang; Tyler Dangerfield; Kenneth A Johnson; Jiali Gao; Ron Elber
Journal:  J Phys Chem B       Date:  2020-05-18       Impact factor: 2.991

8.  ScMile: A Script to Investigate Kinetics with Short Time Molecular Dynamics Trajectories and the Milestoning Theory.

Authors:  Wei Wei; Ron Elber
Journal:  J Chem Theory Comput       Date:  2020-01-30       Impact factor: 6.006

9.  Computational Estimation of Microsecond to Second Atomistic Folding Times.

Authors:  Upendra Adhikari; Barmak Mostofian; Jeremy Copperman; Sundar Raman Subramanian; Andrew A Petersen; Daniel M Zuckerman
Journal:  J Am Chem Soc       Date:  2019-04-12       Impact factor: 15.419

10.  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

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