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Data Reweighting in Metadynamics Simulations.
Schäfer, Timo M; Settanni, Giovanni.
Afiliación
  • Schäfer TM; Institut für Physik, Johannes Gutenberg-Universität Mainz, Mainz, Germany.
  • Settanni G; Graduate School Materials Science in Mainz, Mainz, Germany.
J Chem Theory Comput ; 16(4): 2042-2052, 2020 Apr 14.
Article en En | MEDLINE | ID: mdl-32192340
The data collected along a metadynamics simulation can be used to recover information about the underlying unbiased system by means of a reweighting procedure. Here, we analyze the behavior of several reweighting techniques in terms of the quality of the reconstruction of the underlying unbiased free energy landscape in the early stages of the simulation and propose a simple reweighting scheme that we relate to the other techniques. We then show that the free energy landscape reconstructed from reweighted data can be more accurate than the negative bias potential depending on the reweighting technique, the stage of the simulation, and the adoption of well-tempered or standard metadynamics. While none of the tested reweighting techniques from the literature provides the most accurate results in all the analyzed situations, the one proposed here, in addition to helping simplifying the reweighting procedure, converges quickly and precisely to the underlying free energy surface in all the considered cases, thus allowing for an efficient use of limited simulation data.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Chem Theory Comput Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Chem Theory Comput Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos