title: In silico systems biology approaches for the identification of antimicrobial targets.
abstract: Classical antibiotic discovery efforts have relied mainly on molecular library screening coupled with target-based lead optimization. The conventional approaches are unable to tackle the emergence of antibiotic resistance and are failing to provide understanding of multiple mechanisms behind drug actions and the off-target effects. These insufficiencies have prompted researchers to focus on a multidisciplinary approach of systems biology-based antibiotic discovery. Systems biology is capable of providing a big-picture view for therapeutic targets through interconnected networks of biochemical reactions derived from both experimental and computational techniques. In this chapter, we have compiled software tools and databases that are typically used for target identification through in silico analyses. We have also identified enzyme- and broad-spectrum metabolite-based drug targets that have emerged through in silico systems microbiology.
authors.affiliation: Center for Advanced Drug Research (CADRE), SRI International, Harrisonburg, VA, USA.
authors.forename: Malabika
authors.initials: M
authors.lastname: Sarker
authors.forename: Carolyn
authors.initials: C
authors.lastname: Talcott
authors.forename: Amit K
authors.initials: AK
authors.lastname: Galande
mesh_terms: D000818:Animals; D000890:Anti-Infective Agents / Q000494:pharmacology*; D016208:Databases, Factual; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D006801:Humans; D008829:Microbiology; D012984:Software; D049490:Systems Biology / Q000379:methods*
chemical_list: D000890:Anti-Infective Agents