title: Drug target identification through systems biology.
abstract: To rationalise drug target selection, we should understand the role of putative targets in biological pathways quantitatively. We review here how experimental and computational network-based approaches can aid more rational drug target selection and illustrate this with results obtained for microbes and for cancer. Comparison of the drug response of biochemical networks in target cells and (healthy) host cells can reveal network-selective targets.
authors.affiliation: Department of Pediatrics and Systems Biology Centre for Energy Metabolism and Ageing, University of Groningen, University Medical Center Groningen, The Netherlands; Department of Molecular Cell Physiology, Vrije Universiteit Amsterdam, The Netherlands. Electronic address: j.r.haanstra@vu.nl.
authors.forename: Jurgen R
authors.initials: JR
authors.lastname: Haanstra
authors.affiliation: Department of Pediatrics and Systems Biology Centre for Energy Metabolism and Ageing, University of Groningen, University Medical Center Groningen, The Netherlands; Department of Molecular Cell Physiology, Vrije Universiteit Amsterdam, The Netherlands.
authors.forename: Barbara M
authors.initials: BM
authors.lastname: Bakker
mesh_terms: D000818:Animals; D000890:Anti-Infective Agents / Q000494:pharmacology; D000970:Antineoplastic Agents / Q000494:pharmacology; D019295:Computational Biology; D006801:Humans; D058990:Molecular Targeted Therapy; D009369:Neoplasms / Q000188:drug therapy / Q000473:pathology; D049490:Systems Biology / Q000379:methods*
chemical_list: D000890:Anti-Infective Agents; D000970:Antineoplastic Agents