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Systems biology of tuberculosis

Chandra, Nagasuma and Kumar, Dhiraj and Rao, Kanury (2011) Systems biology of tuberculosis. In: Tuberculosis, 91 (5, SI). pp. 487-496.

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Official URL: http://dx.doi.org/10.1016/j.tube.2011.02.008

Abstract

Systems biology seeks to study biological systems as a whole, by adopting an integrated approach to study and understand the function of biological systems, particularly, the response of such systems to various perturbations. In this article, we focus on the Indian efforts towards systems-level studies of Mycobacterium tuberculosis and its interaction with the host. Availability of a variety of genome-scale experimental data, providing first level `omics' descriptions of the pathogen, render it feasible to study it at a systems level. Various aspects of the pathogen, from metabolic pathways to protein-protein interaction networks have been modelled and simulated, while host-pathogen interactions have been studied experimentally using siRNA-based techniques. These studies have been useful in obtaining a global perspective of the pathogen and its interactions with the host in many ways. For example, significant insights have been gained about different aspects such as proteins essential for bacterial survival, proteins that are highly influential in the network, pathways that are highly connected, host factors responsible for maintaining the TB infection and key factors involved in autophagy and pathogenesis. A rational pipeline developed for drug target identification incorporating analyses of the interactome, reactome, genome, pocketome and the transcriptome is discussed. Finally, exploring host factors as drug targets and insights about the emergence of drug resistance are also discussed. (C) 2011 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Elsevier Science.
Keywords: Host-pathogen interplay;Modelling M. tuberculosis; Genome-wide siRNA screen;Drug target discovery;Targetting host-factors
Department/Centre: Division of Information Sciences > BioInformatics Centre
Date Deposited: 03 Nov 2011 11:20
Last Modified: 03 Nov 2011 11:20
URI: http://eprints.iisc.ernet.in/id/eprint/41658

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