Publications by authors named "Umamageswaran Venugopal"

New chemical scaffolds with novel mechanism of action are urgently needed for the treatment of drug resistant tuberculosis. The oxidative phosphorylation pathway of Mycobacterium tuberculosis consists of multiple clinically validated drug targets. This pathway can function through any one of the two terminal oxidases-the proton pumping cytochrome bc-aa supercomplex, or the less energy efficient but high affinity cytochrome bd oxidase.

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Worldwide, TB is one of the deadly airborne diseases, which accounts for 10.4 million deaths annually. Serious toxicity issue, prolonged treatment regimens of the current drugs, rise in multidrug-resistant strains, and the unique defensive mechanism makes the development of novel therapeutic molecules against Mycobacterium tuberculosis (MT) an urgent need.

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Understanding the function of conserved hypothetical protein (CHP)s expressed by a pathogen in the infected host can lead to better understanding of its pathogenesis. The present work describes the functional characterization of a CHP, Rv1717 of (Mtb). Rv1717 has been previously reported to be upregulated in TB patient lungs.

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Persisters of Mycobacterium tuberculosis (Mtb) that fail to form colonies on agar media when de-stressed are termed as differentially detectable (DD) persisters. Since in the host, Mtb primarily survives by utilizing lipids, we used a long-term lipid diet model to induce DD persisters of M. tuberculosis.

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Background: Mycobacterium tuberculosis is known to slow down its transcriptional activity during dormancy. Hence, while using reporter strains, it is important to couple the reporter gene to a promoter that is strong and sensitive both in active and dormant M. tuberculosis.

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Drugs have been discovered in the past mainly either by identification of active components from traditional remedies or by unpredicted discovery. A key motivation for the study of structure based virtual screening is the exploitation of such information to design targeted drugs. In this study, structure based virtual screening was used in search for putative quorum sensing inhibitors (QSI) of Pseudomonas aeruginosa.

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