Literature DB >> 21459043

Systems biology of tuberculosis.

Nagasuma Chandra1, Dhiraj Kumar, Kanury Rao.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21459043     DOI: 10.1016/j.tube.2011.02.008

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  5 in total

1.  Cloning, expression, purification and preliminary X-ray diffraction studies of a mycobacterial protein implicated in bacterial survival in macrophages.

Authors:  Adam E Shahine; Phooi Y Chan; Dene Littler; Julian Vivian; Rajini Brammananth; Paul K Crellin; Ross L Coppel; Jamie Rossjohn; Travis Beddoe
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2013-04-30

2.  A genome wide association scan of bovine tuberculosis susceptibility in Holstein-Friesian dairy cattle.

Authors:  Emma K Finlay; Donagh P Berry; Brian Wickham; Eamonn P Gormley; Daniel G Bradley
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

3.  Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.

Authors:  Rohit Vashisht; Anupam Kumar Mondal; Akanksha Jain; Anup Shah; Priti Vishnoi; Priyanka Priyadarshini; Kausik Bhattacharyya; Harsha Rohira; Ashwini G Bhat; Anurag Passi; Keya Mukherjee; Kumari Sonal Choudhary; Vikas Kumar; Anshula Arora; Prabhakaran Munusamy; Ahalyaa Subramanian; Aparna Venkatachalam; S Gayathri; Sweety Raj; Vijaya Chitra; Kaveri Verma; Salman Zaheer; J Balaganesh; Malarvizhi Gurusamy; Mohammed Razeeth; Ilamathi Raja; Madhumohan Thandapani; Vishal Mevada; Raviraj Soni; Shruti Rana; Girish Muthagadhalli Ramanna; Swetha Raghavan; Sunil N Subramanya; Trupti Kholia; Rajesh Patel; Varsha Bhavnani; Lakavath Chiranjeevi; Soumi Sengupta; Pankaj Kumar Singh; Naresh Atray; Swati Gandhi; Tiruvayipati Suma Avasthi; Shefin Nisthar; Meenakshi Anurag; Pratibha Sharma; Yasha Hasija; Debasis Dash; Arun Sharma; Vinod Scaria; Zakir Thomas; Nagasuma Chandra; Samir K Brahmachari; Anshu Bhardwaj
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

Review 4.  Early Drug Development and Evaluation of Putative Antitubercular Compounds in the -Omics Era.

Authors:  Alina Minias; Lidia Żukowska; Ewelina Lechowicz; Filip Gąsior; Agnieszka Knast; Sabina Podlewska; Daria Zygała; Jarosław Dziadek
Journal:  Front Microbiol       Date:  2021-02-02       Impact factor: 5.640

5.  Mycobacterium tuberculosis and Clostridium difficille interactomes: demonstration of rapid development of computational system for bacterial interactome prediction.

Authors:  Ankur Khetan; Aman Gupta; Adam Handen; Seshan Ananthasubramanian; Rahul Metri; Nagasuma Chandra; Madhavi Ganapathiraju
Journal:  Microb Inform Exp       Date:  2012-03-21
  5 in total

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