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LIGSIFT: an open-source tool for ligand structural alignment and virtual screening.
Roy, Ambrish; Skolnick, Jeffrey.
Afiliação
  • Roy A; Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, GA 30076, USA.
  • Skolnick J; Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, GA 30076, USA.
Bioinformatics ; 31(4): 539-44, 2015 Feb 15.
Article em En | MEDLINE | ID: mdl-25336501
MOTIVATION: Shape-based alignment of small molecules is a widely used approach in computer-aided drug discovery. Most shape-based ligand structure alignment applications, both commercial and freely available ones, use the Tanimoto coefficient or similar functions for evaluating molecular similarity. Major drawbacks of using such functions are the size dependence of the score and the fact that the statistical significance of the molecular match using such metrics is not reported. RESULTS: We describe a new open-source ligand structure alignment and virtual screening (VS) algorithm, LIGSIFT, that uses Gaussian molecular shape overlay for fast small molecule alignment and a size-independent scoring function for efficient VS based on the statistical significance of the score. LIGSIFT was tested against the compounds for 40 protein targets available in the Directory of Useful Decoys and the performance was evaluated using the area under the ROC curve (AUC), the Enrichment Factor (EF) and Hit Rate (HR). LIGSIFT-based VS shows an average AUC of 0.79, average EF values of 20.8 and a HR of 59% in the top 1% of the screened library. AVAILABILITY AND IMPLEMENTATION: LIGSIFT software, including the source code, is freely available to academic users at http://cssb.biology.gatech.edu/LIGSIFT. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: skolnick@gatech.edu.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteínas / Descoberta de Drogas / Simulação de Acoplamento Molecular / Bases de Dados de Compostos Químicos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Bioinformatics Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteínas / Descoberta de Drogas / Simulação de Acoplamento Molecular / Bases de Dados de Compostos Químicos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Bioinformatics Ano de publicação: 2015 Tipo de documento: Article