Your browser doesn't support javascript.
loading
A minimization principle for transition paths of maximum flux for collective variables.
Skeel, Robert D; Zhao, Ruijun; Post, Carol Beth.
Afiliação
  • Skeel RD; Department of Computer Science, Purdue University, West Lafayette, IN, 47906 USA.
  • Zhao R; Department of Mathematics and Statistics, Minnesota State University, Mankato, MN, 56001 USA.
  • Post CB; Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, 47906 USA.
Theor Chem Acc ; 1362017 Jan.
Article em En | MEDLINE | ID: mdl-29225509
ABSTRACT
Considered is the construction of transition paths of conformational changes for proteins and other macromolecules, using methods that do not require the generation of dynamics trajectories. Special attention is given to the use of a reduced set of collective variables for describing such paths. A favored way to define transition paths is to seek channels through the transition state having cross sections with a high reactive flux (density of last hitting points of reactive trajectories). Given here is a formula for reactive flux that is independent of the parameterization of "collective variable space." This formula is needed for the principal curve of the reactive flux (as in the revised finite temperature string method) and for the maximum flux transition (MaxFlux) path. Additionally, a resistance functional is derived for narrow tubes, which when minimized yields a MaxFlux path. A strategy for minimization is outlined in the spirit of the string method. Finally, alternative approaches based on determining trajectories of high probability are considered, and it is observed that they yield paths that depend on the parameterization of collective variable space, except in the case of zero temperature, where such a path coincides with a MaxFlux path.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Theor Chem Acc Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Theor Chem Acc Ano de publicação: 2017 Tipo de documento: Article