Journal
TRENDS IN MICROBIOLOGY
Volume 20, Issue 3, Pages 113-123Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.tim.2011.12.004
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Funding
- National Science Foundation CAREER [0643548]
- National Institute of Allergy and Infectious Diseases [5U54 AI057168]
- National Institutes of Health [R01 GM088244]
- Cystic Fibrosis Research Foundation [1060]
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [0643548] Funding Source: National Science Foundation
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For many infectious diseases, novel treatment options are needed in order to address problems with cost, toxicity and resistance to current drugs. Systems biology tools can be used to gain valuable insight into pathogenic processes and aid in expediting drug discovery. In the past decade, constraint-based modeling of genome-scale metabolic networks has become widely used. Focusing on pathogen metabolic networks, we review in silico strategies used to identify effective drug targets and highlight recent successes as well as limitations associated with such computational analyses. We further discuss how accounting for the host environment and even targeting the host may offer new therapeutic options. These systems-level approaches are beginning to provide novel avenues for drug targeting against infectious agents.
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