Literature DB >> 23197415

Coulomb replica-exchange method: handling electrostatic attractive and repulsive forces for biomolecules.

Satoru G Itoh1, Hisashi Okumura.   

Abstract

We propose a new type of the Hamiltonian replica-exchange method (REM) for molecular dynamics (MD) and Monte Carlo simulations, which we refer to as the Coulomb REM (CREM). In this method, electrostatic charge parameters in the Coulomb interactions are exchanged among replicas while temperatures are exchanged in the usual REM. By varying the atom charges, the CREM overcomes free-energy barriers and realizes more efficient sampling in the conformational space than the REM. Furthermore, this method requires only a smaller number of replicas because only the atom charges of solute molecules are used as exchanged parameters. We performed Coulomb replica-exchange MD simulations of an alanine dipeptide in explicit water solvent and compared the results with those of the conventional canonical, replica exchange, and van der Waals REMs. Two force fields of AMBER parm99 and AMBER parm99SB were used. As a result, the CREM sampled all local-minimum free-energy states more frequently than the other methods for both force fields. Moreover, the Coulomb, van der Waals, and usual REMs were applied to a fragment of an amyloid-β peptide (Aβ) in explicit water solvent to compare the sampling efficiency of these methods for a larger system. The CREM sampled structures of the Aβ fragment more efficiently than the other methods. We obtained β-helix, α-helix, 3(10)-helix, β-hairpin, and β-sheet structures as stable structures and deduced pathways of conformational transitions among these structures from a free-energy landscape.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23197415     DOI: 10.1002/jcc.23167

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  10 in total

Review 1.  Enhanced sampling simulations to construct free-energy landscape of protein-partner substrate interaction.

Authors:  Jinzen Ikebe; Koji Umezawa; Junichi Higo
Journal:  Biophys Rev       Date:  2016-01-11

2.  Comparing generalized ensemble methods for sampling of systems with many degrees of freedom.

Authors:  James Lincoff; Sukanya Sasmal; Teresa Head-Gordon
Journal:  J Chem Phys       Date:  2016-11-07       Impact factor: 3.488

Review 3.  All-Atom Molecular Dynamics Simulation Methods for the Aggregation of Protein and Peptides: Replica Exchange/Permutation and Nonequilibrium Simulations.

Authors:  Satoru G Itoh; Hisashi Okumura
Journal:  Methods Mol Biol       Date:  2022

4.  Molecular dynamics simulations of amyloid-β peptides in heterogeneous environments.

Authors:  Yuhei Tachi; Satoru G Itoh; Hisashi Okumura
Journal:  Biophys Physicobiol       Date:  2022-04-02

Review 5.  Molecular Dynamics Simulation Studies on the Aggregation of Amyloid-β Peptides and Their Disaggregation by Ultrasonic Wave and Infrared Laser Irradiation.

Authors:  Hisashi Okumura; Satoru G Itoh
Journal:  Molecules       Date:  2022-04-12       Impact factor: 4.927

6.  Finding Our Way in the Dark Proteome.

Authors:  Asmit Bhowmick; David H Brookes; Shane R Yost; H Jane Dyson; Julie D Forman-Kay; Daniel Gunter; Martin Head-Gordon; Gregory L Hura; Vijay S Pande; David E Wemmer; Peter E Wright; Teresa Head-Gordon
Journal:  J Am Chem Soc       Date:  2016-07-19       Impact factor: 15.419

7.  GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations.

Authors:  Jaewoon Jung; Takaharu Mori; Chigusa Kobayashi; Yasuhiro Matsunaga; Takao Yoda; Michael Feig; Yuji Sugita
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-05-07

Review 8.  Promotion and Inhibition of Amyloid-β Peptide Aggregation: Molecular Dynamics Studies.

Authors:  Satoru G Itoh; Hisashi Okumura
Journal:  Int J Mol Sci       Date:  2021-02-13       Impact factor: 5.923

9.  Dynamic properties of SARS-CoV and SARS-CoV-2 RNA-dependent RNA polymerases studied by molecular dynamics simulations.

Authors:  Satoru G Itoh; Shoichi Tanimoto; Hisashi Okumura
Journal:  Chem Phys Lett       Date:  2021-06-10       Impact factor: 2.328

Review 10.  Enhanced conformational sampling to visualize a free-energy landscape of protein complex formation.

Authors:  Shinji Iida; Haruki Nakamura; Junichi Higo
Journal:  Biochem J       Date:  2016-06-15       Impact factor: 3.857

  10 in total

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