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Comparative Molecular Field Analysis Using Molecular Integral Equation Theory.
Ansari, Samiul M; Palmer, David S.
Afiliação
  • Ansari SM; Department of Pure and Applied Chemistry , University of Strathclyde , Thomas Graham Building, 295 Cathedral Street , Glasgow , Scotland G1 1XL , U.K.
  • Palmer DS; Department of Pure and Applied Chemistry , University of Strathclyde , Thomas Graham Building, 295 Cathedral Street , Glasgow , Scotland G1 1XL , U.K.
J Chem Inf Model ; 58(6): 1253-1265, 2018 06 25.
Article em En | MEDLINE | ID: mdl-29544055
ABSTRACT
Recently, Güssregen et al. used solute-solvent distribution functions calculated by the three-dimensional Reference Interaction Site Model (3DRISM) in a 3D quantitative structure-activity relationship (QSAR) approach to model activity data for a set of serine protease inhibitors; this approach was referred to as Comparative Analysis of 3D RISM Maps (CARMa). [ J. Chem. Inf. MODEL 2017, 57, 1652-1666] Here we extend this idea by introducing probe atoms into the 3DRISM solvent model in order to directly capture other molecular interactions in addition to those related to hydration/dehydration. Benchmark results for six different protein-ligand systems show that CARMa models trained on probe atom descriptors give consistently more accurate predictions than Comparative Molecular Field Analysis (CoMFA) and other common QSAR approaches.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Inibidores Enzimáticos 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: Relação Quantitativa Estrutura-Atividade / Inibidores Enzimáticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article