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LigQ: A Webserver to Select and Prepare Ligands for Virtual Screening.
Radusky, Leandro; Ruiz-Carmona, Sergio; Modenutti, Carlos; Barril, Xavier; Turjanski, Adrian G; Martí, Marcelo A.
Afiliação
  • Radusky L; Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , 1053 Buenos Aires, Argentina.
  • Ruiz-Carmona S; Insituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN-CONICET) , Pabellón II, Buenos Aires C1428EHA, Argentina.
  • Modenutti C; Department of Physical Chemistry, Faculty of Pharmacy and Institute of Biomedicine (IBUB), University of Barcelona , Avgda. Diagonal 643, Barcelona 08028, Spain.
  • Barril X; Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , 1053 Buenos Aires, Argentina.
  • Turjanski AG; Insituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN-CONICET) , Pabellón II, Buenos Aires C1428EHA, Argentina.
  • Martí MA; Department of Physical Chemistry, Faculty of Pharmacy and Institute of Biomedicine (IBUB), University of Barcelona , Avgda. Diagonal 643, Barcelona 08028, Spain.
J Chem Inf Model ; 57(8): 1741-1746, 2017 08 28.
Article em En | MEDLINE | ID: mdl-28700230
ABSTRACT
Virtual screening is a powerful methodology to search for new small molecule inhibitors against a desired molecular target. Usually, it involves evaluating thousands of compounds (derived from large databases) in order to select a set of potential binders that will be tested in the wet-lab. The number of tested compounds is directly proportional to the cost, and thus, the best possible set of ligands is the one with the highest number of true binders, for the smallest possible compound set size. Therefore, methods that are able to trim down large universal data sets enriching them in potential binders are highly appreciated. Here we present LigQ, a free webserver that is able to (i) determine best structure and ligand binding pocket for a desired protein, (ii) find known binders, as well as potential ligands known to bind to similar protein domains, (iii) most importantly, select a small set of commercial compounds enriched in potential binders, and (iv) prepare them for virtual screening. LigQ was tested with several proteins, showing an impressive capacity to retrieve true ligands from large data sets, achieving enrichment factors of over 10%. LigQ is available at http//ligq.qb.fcen.uba.ar/ .
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Internet / Avaliação Pré-Clínica de Medicamentos Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Internet / Avaliação Pré-Clínica de Medicamentos Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article