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MRP.py: A Parametrizer of Post-Translationally Modified Residues.
Sahrmann, Patrick G; Donnan, Patrick H; Merz, Kenneth M; Mansoorabadi, Steven O; Goodwin, Douglas C.
Afiliación
  • Sahrmann PG; Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama36849-5312, United States.
  • Donnan PH; Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama36849-5312, United States.
  • Merz KM; Department of Chemistry and the Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824-1312, United States.
  • Mansoorabadi SO; Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama36849-5312, United States.
  • Goodwin DC; Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama36849-5312, United States.
J Chem Inf Model ; 60(10): 4424-4428, 2020 10 26.
Article en En | MEDLINE | ID: mdl-32672967
ABSTRACT
MRP.py is a Python-based parametrization program for covalently modified amino acid residues for molecular dynamics simulations. Charge derivation is performed via an RESP charge fit, and force constants are obtained through rewriting of either protein or GAFF database parameters. This allows for the description of interfacial interactions between the modifed residue and protein. MRP.py is capable of working with a variety of protein databases. MRP.py's highly general and systematic method of obtaining parameters allows the user to circumvent the process of parametrizing the modified residue-protein interface. Two examples, a covalently bound inhibitor and covalent adduct consisting of modified residues, are provided in the Supporting Information.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos