Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
PLoS One ; 7(7): e39808, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22808064

RESUMO

A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative 'Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed 'interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.


Assuntos
Proteínas de Bactérias/metabolismo , Crowdsourcing , Sistemas de Liberação de Medicamentos/métodos , Genoma Bacteriano , Macrófagos/microbiologia , Mycobacterium tuberculosis/genética , Mycobacterium tuberculosis/metabolismo , Proteínas de Bactérias/genética , Sistemas de Liberação de Medicamentos/estatística & dados numéricos , Redes Reguladoras de Genes , Genômica , Interações Hospedeiro-Patógeno , Humanos , Mycobacterium tuberculosis/patogenicidade , Mapeamento de Interação de Proteínas , Proteoma , Transdução de Sinais
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA