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VSPrep: A General KNIME Workflow for the Preparation of Molecules for Virtual Screening.
Gally, José-Manuel; Bourg, Stéphane; Do, Quoc-Tuan; Aci-Sèche, Samia; Bonnet, Pascal.
Afiliação
  • Gally JM; Institut de Chimie Organique et Analytique (ICOA), Université d'Orléans et CNRS, UMR7311, BP 6759, 55067, Orléans, France.
  • Bourg S; Institut de Chimie Organique et Analytique (ICOA), Université d'Orléans et CNRS, UMR7311, BP 6759, 55067, Orléans, France.
  • Do QT; Greenpharma SAS., 3, allée du Titane, 45100, Orléans, France.
  • Aci-Sèche S; Institut de Chimie Organique et Analytique (ICOA), Université d'Orléans et CNRS, UMR7311, BP 6759, 55067, Orléans, France.
  • Bonnet P; Institut de Chimie Organique et Analytique (ICOA), Université d'Orléans et CNRS, UMR7311, BP 6759, 55067, Orléans, France.
Mol Inform ; 36(10)2017 10.
Article em En | MEDLINE | ID: mdl-28586180
ABSTRACT
Over the past decades, virtual screening has proved itself to be a valuable asset to identify new bioactive compounds. The vast majority of commonly used techniques can be described in three

steps:

pre-processing the dataset i. e. small (ligands) and eventually larger (receptors) molecules, execute the method and finally analyse the results. Hence, the preparation of ligands is a critical step for success of commonly used virtual screening approaches such as protein-ligand docking, similarity or pharmacophore search. We present here a new workflow, VSPrep, for the pre-processing of small molecules; it is based on freely accessible tools for academics and is integrated within the KNIME platform. It can be used to perform several chemoinformatics tasks such as molecular database cleaning, tautomer and stereoisomer enumeration, focused library design and conformer generation. Additionally, graphical reports of the results are provided to the user as a convenient analysis tool.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados de Compostos Químicos Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Mol Inform Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados de Compostos Químicos Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Mol Inform Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França