Interactome analysis of Rv0148 to predict potential targets and their pathways linked to aminoglycosides drug resistance: An insilico approach.
Microb Pathog
; 121: 179-183, 2018 Aug.
Article
em En
| MEDLINE
| ID: mdl-29800702
Failure of multi drug resistant tuberculosis (MDR-TB) treatment has increased the risk of aminoglycosides resistance, disease transmission, morbidity and mortality. Aminoglycosides are commonly used in multi drug resistant tuberculosis (MDR-TB) treatment. They inhibit protein synthesis by interacting with translationary steps. Apart from gene mutations various mechanisms of aminoglycosides resistance have been reported but still our knowledge regarding aminoglycosides resistance is fragmentary. Proteomics and bioinformatics approaches are the most accepted approaches to explore the unrevealed mechanisms of aminoglycosides resistance. Our previous studies suggested that over expression of Rv0148 in aminoglycosides resistant M. tuberculosis clinical isolates potentially leads to aminoglycosides resistance. In this study we have analyzed the protein-protein interactions of putative short-chain type dehydrogenase/reductase (Rv0148) and predicted the proteins target linked to the aminoglycosides drug resistance. Interactome predicted that fatty acid synthase (fas), dehydrogenase (htdY), dehydrogenase (MT3642), quinine oxidoreductase (MT0157), phenyloxazoline synthase (mbtB), hypothetical protein (Rv0130), 3-oxoacyl-ACP synthase (kasA), 3-oxoacyl-ACP synthase (kasB) aldehyde dehydrogenase (MT0155) and hypothetical protein (Rv1867) were the interactive partners of Rv0148. We have suggested that Rv0148, its predictive interactive protein partners and their pathways (via lipid metabolism as well as intermediary metabolism and respiration) cumulatively unlock the mystery of aminoglycosides resistance in M. tuberculosis.
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Base de dados:
MEDLINE
Assunto principal:
Proteínas de Bactérias
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Farmacorresistência Bacteriana Múltipla
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Aminoglicosídeos
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Mycobacterium tuberculosis
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Antituberculosos
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article