Publications
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. Systems Biology of Tuberculosis: Insights for Drug Discovery. In: Understanding the Dynamics of Biological Systems. Understanding the Dynamics of Biological Systems. New York, NY; 2011. p. 83–110.
. Systems biology. Resonance. 2010;15:131–153.
. A systems perspective of host–pathogen interactions: predicting disease outcome in tuberculosis. Mol BioSyst. 2010;6:516–530.
. Flux balance analysis of biological systems: applications and challenges. Brief Bioinform. 2009;10:435–449.
. Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis. Mol. BioSyst. 2009;5:1740–1751.
. Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance. BMC Microbiology. 2008;8:234.
. PathwayAnalyser: A Systems Biology Tool for Flux Analysis of Metabolic Pathways. Nature Precedings [Internet]. 2008. Available from: http://dx.doi.org/10.1038/npre.2008.1868.1
. targetTB: A target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis. BMC Systems Biology. 2008;2:109.
. Hallmarks of mycolic acid biosynthesis: A comparative genomics study. Proteins: Structure, Function, and Bioinformatics. 2007;69:358–368.
. Model Driven Drug Discovery: Principles and Practices. In: Biological Database Modeling. 1st ed. Biological Database Modeling. ; 2007. p. 163–188. Available from: http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/1596932589
. Principles and Practices of Pathway Modelling. Current Bioinformatics. 2006;1:147–160.
. Flux Balance Analysis of Mycolic Acid Pathway: Targets for Anti-Tubercular Drugs. PLoS Comput Biol. 2005;1:e46+.