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Placement of Water Molecules in Protein Structures: From Large-Scale Evaluations to Single-Case Examples.
Nittinger, Eva; Flachsenberg, Florian; Bietz, Stefan; Lange, Gudrun; Klein, Robert; Rarey, Matthias.
Afiliação
  • Nittinger E; Universität Hamburg , ZBH - Center for Bioinformatics , Bundesstraße 43 , 20146 Hamburg , Germany.
  • Flachsenberg F; Universität Hamburg , ZBH - Center for Bioinformatics , Bundesstraße 43 , 20146 Hamburg , Germany.
  • Bietz S; Universität Hamburg , ZBH - Center for Bioinformatics , Bundesstraße 43 , 20146 Hamburg , Germany.
  • Lange G; Bayer CropScience AG , Industriepark Hoechst G836 , 65926 Frankfurt am Main , Germany.
  • Klein R; Bayer CropScience AG , Industriepark Hoechst G836 , 65926 Frankfurt am Main , Germany.
  • Rarey M; Universität Hamburg , ZBH - Center for Bioinformatics , Bundesstraße 43 , 20146 Hamburg , Germany.
J Chem Inf Model ; 58(8): 1625-1637, 2018 08 27.
Article em En | MEDLINE | ID: mdl-30036062
ABSTRACT
Water molecules are of great importance for the correct representation of ligand binding interactions. Throughout the last years, water molecules and their integration into drug design strategies have received increasing attention. Nowadays a variety of tools are available to place and score water molecules. However, the most frequently applied software solutions require substantial computational resources. In addition, none of the existing methods has been rigorously evaluated on the basis of a large number of diverse protein complexes. Therefore, we present a novel method for placing water molecules, called WarPP, based on interaction geometries previously derived from protein crystal structures. Using a large, previously compiled, high-quality validation set of almost 1500 protein-ligand complexes containing almost 20 000 crystallographically observed water molecules in their active sites, we validated our placement strategy. We correctly placed 80% of the water molecules within 1.0 Šof a crystallographically observed one.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Proteínas Tipo de estudo: Prognostic_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Proteínas Tipo de estudo: Prognostic_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha
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