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PBIT: Pipeline Builder for Identification of drug Targets for infectious diseases.
Shende, Gauri; Haldankar, Harshala; Barai, Ram Shankar; Bharmal, Mohammed Husain; Shetty, Vinit; Idicula-Thomas, Susan.
Afiliación
  • Shende G; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
  • Haldankar H; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
  • Barai RS; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
  • Bharmal MH; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
  • Shetty V; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
  • Idicula-Thomas S; ICMR Biomedical Informatics Center, National Institute for Research in Reproductive Health, Mumbai, India.
Bioinformatics ; 33(6): 929-931, 2017 03 15.
Article en En | MEDLINE | ID: mdl-28039165
ABSTRACT

Summary:

PBIT (Pipeline Builder for Identification of drug Targets) is an online webserver that has been developed for screening of microbial proteomes for critical features of human drug targets such as being non-homologous to human proteome as well as the human gut microbiota, essential for the pathogen's survival, participation in pathogen-specific pathways etc. The tool has been validated by analyzing 57 putative targets of Candida albicans documented in literature. PBIT integrates various in silico approaches known for drug target identification and will facilitate high-throughput prediction of drug targets for infectious diseases, including multi-pathogenic infections. Availability and Implementation PBIT is freely accessible at http//www.pbit.bicnirrh.res.in/ . Contact thomass@nirrh.res.in. Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Simulación por Computador / Enfermedades Transmisibles / Proteoma / Descubrimiento de Drogas / Microbiota Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Simulación por Computador / Enfermedades Transmisibles / Proteoma / Descubrimiento de Drogas / Microbiota Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: India
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