Your browser doesn't support javascript.
loading
Exploring Coupled Redox and pH Processes with a Force-Field-Based Approach: Applications to Five Different Systems.
Cruzeiro, Vinícius Wilian D; Feliciano, Gustavo Troiano; Roitberg, Adrian E.
Afiliação
  • Cruzeiro VWD; Department of Chemistry , University of Florida , Gainesville , Florida 32611 , United States.
  • Feliciano GT; Departamento de Físico-Química, Instituto de Química , Universidade Estadual Paulista (Unesp) , Araraquara , Brazil.
  • Roitberg AE; Department of Chemistry , University of Florida , Gainesville , Florida 32611 , United States.
J Am Chem Soc ; 142(8): 3823-3835, 2020 02 26.
Article em En | MEDLINE | ID: mdl-32011132
ABSTRACT
Coupled redox and pH-driven processes are at the core of many important biological mechanisms. As the distribution of protonation and redox states in a system is associated with the pH and redox potential of the solution, having efficient computational tools that can simulate under these conditions becomes very important. Such tools have the potential to provide information that complement and drive experiments. In previous publications we have presented the implementation of the constant pH and redox potential molecular dynamics (C(pH,E)MD) method in AMBER and we have shown how multidimensional replica exchange can be used to significantly enhance the convergence efficiency of our simulations. In the current work, after an improvement in our C(pH,E)MD approach that allows a given residue to be simultaneously pH- and redox-active, we have employed our methodologies to study five different systems of interest in the literature. We present results for capped tyrosine dipeptide, two maquette systems containing one pH- and redox-active tyrosine (α3Y and peptide A), and two proteins that contain multiple heme groups (diheme cytochrome c from Rhodobacter sphaeroides and Desulfovibrio vulgaris Hildenborough cytochrome c3). We show that our results can provide new insights into previous theoretical and experimental findings by using a fully force-field-based and GPU-accelerated approach, which allows the simulations to be executed with high computational performance.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article