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Ligand-biased ensemble receptor docking (LigBEnD): a hybrid ligand/receptor structure-based approach.
Lam, Polo C-H; Abagyan, Ruben; Totrov, Maxim.
Afiliação
  • Lam PC; Molsoft L.L.C., 11199 Sorrento Valley Road, S209, San Diego, CA, 92121, USA.
  • Abagyan R; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
  • Totrov M; Molsoft L.L.C., 11199 Sorrento Valley Road, S209, San Diego, CA, 92121, USA. max@molsoft.com.
J Comput Aided Mol Des ; 32(1): 187-198, 2018 01.
Article em En | MEDLINE | ID: mdl-28887659
ABSTRACT
Ligand docking to flexible protein molecules can be efficiently carried out through ensemble docking to multiple protein conformations, either from experimental X-ray structures or from in silico simulations. The success of ensemble docking often requires the careful selection of complementary protein conformations, through docking and scoring of known co-crystallized ligands. False positives, in which a ligand in a wrong pose achieves a better docking score than that of native pose, arise as additional protein conformations are added. In the current study, we developed a new ligand-biased ensemble receptor docking method and composite scoring function which combine the use of ligand-based atomic property field (APF) method with receptor structure-based docking. This method helps us to correctly dock 30 out of 36 ligands presented by the D3R docking challenge. For the six mis-docked ligands, the cognate receptor structures prove to be too different from the 40 available experimental Pocketome conformations used for docking and could be identified only by receptor sampling beyond experimentally explored conformational subspace.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores Citoplasmáticos e Nucleares / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Receptores Citoplasmáticos e Nucleares / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article