Literature DB >> 15524853

Long time molecular dynamics for enhanced conformational sampling in biomolecular systems.

P Minary1, M E Tuckerman, G J Martyna.   

Abstract

Although molecular dynamics methods are commonly used to drive biomolecular simulations, the technique provides insufficient sampling to impact studies of the 200-300 residue proteins of greatest interest. One severe limitation of molecular dynamics is that the integrators are restricted by resonance phenomena to small time steps (Delta t<8 fs) much slower then the time scales of important structural and solvent rearrangements. Here, a novel set of equations of motion and a reversible, resonance-free, integrator are designed which permit step sizes on the order of 100 fs to be used.

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Year:  2004        PMID: 15524853     DOI: 10.1103/PhysRevLett.93.150201

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  12 in total

1.  Modeling and design by hierarchical natural moves.

Authors:  Adelene Y L Sim; Michael Levitt; Peter Minary
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

2.  Conformational optimization with natural degrees of freedom: a novel stochastic chain closure algorithm.

Authors:  Peter Minary; Michael Levitt
Journal:  J Comput Biol       Date:  2010-08       Impact factor: 1.479

Review 3.  Modeling nucleic acids.

Authors:  Adelene Y L Sim; Peter Minary; Michael Levitt
Journal:  Curr Opin Struct Biol       Date:  2012-04-25       Impact factor: 6.809

4.  Probing protein fold space with a simplified model.

Authors:  Peter Minary; Michael Levitt
Journal:  J Mol Biol       Date:  2007-11-09       Impact factor: 5.469

5.  Multiple Time-Step Dual-Hamiltonian Hybrid Molecular Dynamics - Monte Carlo Canonical Propagation Algorithm.

Authors:  Yunjie Chen; Seyit Kale; Jonathan Weare; Aaron R Dinner; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2016-03-25       Impact factor: 6.006

Review 6.  Equilibrium sampling in biomolecular simulations.

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

7.  Artificial Intelligence for Accelerating Time Integrations in Multiscale Modeling.

Authors:  Changnian Han; Peng Zhang; Danny Bluestein; Guojing Cong; Yuefan Deng
Journal:  J Comput Phys       Date:  2020-12-07       Impact factor: 4.645

Review 8.  Advanced Potential Energy Surfaces for Molecular Simulation.

Authors:  Alex Albaugh; Henry A Boateng; Richard T Bradshaw; Omar N Demerdash; Jacek Dziedzic; Yuezhi Mao; Daniel T Margul; Jason Swails; Qiao Zeng; David A Case; Peter Eastman; Lee-Ping Wang; Jonathan W Essex; Martin Head-Gordon; Vijay S Pande; Jay W Ponder; Yihan Shao; Chris-Kriton Skylaris; Ilian T Todorov; Mark E Tuckerman; Teresa Head-Gordon
Journal:  J Phys Chem B       Date:  2016-09-22       Impact factor: 3.466

9.  Efficient molecular dynamics using geodesic integration and solvent-solute splitting.

Authors:  Benedict Leimkuhler; Charles Matthews
Journal:  Proc Math Phys Eng Sci       Date:  2016-05       Impact factor: 2.704

10.  Physics-based RNA structure prediction.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Biophys Rep       Date:  2015-07-09
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