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Residue-based pharmacophore approaches to study protein-protein interactions.
Shrestha, Rojan; Fajardo, Jorge Eduardo; Fiser, Andras.
Afiliação
  • Shrestha R; Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
  • Fajardo JE; Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
  • Fiser A; Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Department of Biochemistry, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA. Electronic address: andras.fiser@einsteinmed.org.
Curr Opin Struct Biol ; 67: 205-211, 2021 04.
Article em En | MEDLINE | ID: mdl-33486430
This review focuses on pharmacophore approaches in researching protein interfaces that bind protein ligands. Pharmacophore descriptions of binding interfaces that employ molecular dynamics simulation can account for effects of solvation and conformational flexibility. In addition, these calculations provide an approximation to entropic considerations and as such, a better approximation of the free energy of binding. Residue-based pharmacophore approaches can facilitate a variety of drug discovery tasks such as the identification of receptor-ligand partners, identifying their binding poses, designing protein interfaces for selectivity, or defining a reduced mutational combinatorial exploration for subsequent experimental engineering techniques by orders of magnitudes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ligação Proteica / Descoberta de Drogas / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ligação Proteica / Descoberta de Drogas / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2021 Tipo de documento: Article