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Coupling Coarse-Grained to Fine-Grained Models via Hamiltonian Replica Exchange.
Liu, Yang; Pezeshkian, Weria; Barnoud, Jonathan; de Vries, Alex H; Marrink, Siewert J.
Afiliação
  • Liu Y; Groningen Biomolecular Sciences and Biotechnology Institute and the Zernike Institute for Advanced Material, University of Groningen, Groningen 9747 AG, The Netherlands.
  • Pezeshkian W; Groningen Biomolecular Sciences and Biotechnology Institute and the Zernike Institute for Advanced Material, University of Groningen, Groningen 9747 AG, The Netherlands.
  • Barnoud J; Groningen Biomolecular Sciences and Biotechnology Institute and the Zernike Institute for Advanced Material, University of Groningen, Groningen 9747 AG, The Netherlands.
  • de Vries AH; Groningen Biomolecular Sciences and Biotechnology Institute and the Zernike Institute for Advanced Material, University of Groningen, Groningen 9747 AG, The Netherlands.
  • Marrink SJ; Groningen Biomolecular Sciences and Biotechnology Institute and the Zernike Institute for Advanced Material, University of Groningen, Groningen 9747 AG, The Netherlands.
J Chem Theory Comput ; 16(8): 5313-5322, 2020 Aug 11.
Article em En | MEDLINE | ID: mdl-32569465
The energy landscape of biomolecular systems contains many local minima that are separated by high energy barriers. Sampling this landscape in molecular dynamics simulations is a challenging task and often requires the use of enhanced sampling techniques. Here, we increase the sampling efficiency by coupling the fine-grained (FG) GROMOS force field to the coarse-grained (CG) Martini force field via the Hamiltonian replica exchange method (HREM). We tested the efficiency of this procedure using a lutein/octane system. In traditional simulations, cis-trans transitions of lutein are barely observed due to the high energy barrier separating these states. However, many of these transitions are sampled with our HREM scheme. The proposed method offers new possibilities for enhanced sampling of biomolecular conformations, making use of CG models without compromising the accuracy of the FG model.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article