Literature DB >> 18412437

Hamiltonian replica exchange molecular dynamics using soft-core interactions.

Jozef Hritz1, Chris Oostenbrink.   

Abstract

To overcome the problem of insufficient conformational sampling within biomolecular simulations, we have developed a novel Hamiltonian replica exchange molecular dynamics (H-REMD) scheme that uses soft-core interactions between those parts of the system that contribute most to high energy barriers. The advantage of this approach over other H-REMD schemes is the possibility to use a relatively small number of replicas with locally larger differences between the individual Hamiltonians. Because soft-core potentials are almost the same as regular ones at longer distances, most of the interactions between atoms of perturbed parts will only be slightly changed. Rather, the strong repulsion between atoms that are close in space, which in many cases results in high energy barriers, is weakened within higher replicas of our proposed scheme. In addition to the soft-core interactions, we proposed to include multiple replicas using the same Hamiltonian/level of softness. We have tested the new protocol on the GTP and 8-Br-GTP molecules, which are known to have high energy barriers between the anti and syn conformation of the base with respect to the sugar moiety. During two 25 ns MD simulations of both systems the transition from the more stable to the less stable (but still experimentally observed) conformation is not seen at all. Also temperature REMD over 50 replicas for 1 ns did not show any transition at room temperature. On the other hand, more than 20 of such transitions are observed in H-REMD using six replicas (at three different Hamiltonians) during 6.8 ns per replica for GTP and 12 replicas (at six different Hamiltonians) during 8.7 ns per replica for 8-Br-GTP. The large increase in sampling efficiency was obtained from an optimized H-REMD scheme involving soft-core potentials, with multiple simulations using the same level of softness. The optimization of the scheme was performed by fast mimicking [J. Hritz and C. Oostenbrink, J. Chem. Phys. 127, 204104 (2007)].

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Year:  2008        PMID: 18412437     DOI: 10.1063/1.2888998

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


  19 in total

1.  Soft-core potentials in thermodynamic integration: comparing one- and two-step transformations.

Authors:  Thomas Steinbrecher; InSuk Joung; David A Case
Journal:  J Comput Chem       Date:  2011-08-27       Impact factor: 3.376

2.  Perspective: Alchemical free energy calculations for drug discovery.

Authors:  David L Mobley; Pavel V Klimovich
Journal:  J Chem Phys       Date:  2012-12-21       Impact factor: 3.488

3.  MDMS: Molecular Dynamics Meta-Simulator for evaluating exchange type sampling methods.

Authors:  Daniel B Smith; Asim Okur; Bernard Brooks
Journal:  Chem Phys Lett       Date:  2012-07-19       Impact factor: 2.328

4.  Replica exchanging self-guided Langevin dynamics for efficient and accurate conformational sampling.

Authors:  Xiongwu Wu; Milan Hodoscek; Bernard R Brooks
Journal:  J Chem Phys       Date:  2012-07-28       Impact factor: 3.488

5.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

6.  Determining Atomistic SAXS Models of Tri-Ubiquitin Chains from Bayesian Analysis of Accelerated Molecular Dynamics Simulations.

Authors:  Samuel Bowerman; Ambar S J B Rana; Amy Rice; Grace H Pham; Eric R Strieter; Jeff Wereszczynski
Journal:  J Chem Theory Comput       Date:  2017-05-17       Impact factor: 6.006

Review 7.  Recent theoretical and computational advances for modeling protein-ligand binding affinities.

Authors:  Emilio Gallicchio; Ronald M Levy
Journal:  Adv Protein Chem Struct Biol       Date:  2011       Impact factor: 3.507

8.  Improved Binding Free Energy Predictions from Single-Reference Thermodynamic Integration Augmented with Hamiltonian Replica Exchange.

Authors:  Ilja V Khavrutskii; Anders Wallqvist
Journal:  J Chem Theory Comput       Date:  2011-09-13       Impact factor: 6.006

Review 9.  Equilibrium sampling in biomolecular simulations.

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

10.  Free Energy Perturbation Hamiltonian Replica-Exchange Molecular Dynamics (FEP/H-REMD) for Absolute Ligand Binding Free Energy Calculations.

Authors:  Wei Jiang; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2010-07-01       Impact factor: 6.006

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