title: Navigating the kinome.
abstract: Although it is increasingly being recognized that drug-target interaction networks can be powerful tools for the interrogation of systems biology and the rational design of multitargeted drugs, there is no generalized, statistically validated approach to harmonizing sequence-dependent and pharmacology-dependent networks. Here we demonstrate the creation of a comprehensive kinome interaction network based not only on sequence comparisons but also on multiple pharmacology parameters derived from activity profiling data. The framework described for statistical interpretation of these network connections also enables rigorous investigation of chemotype-specific interaction networks, which is critical for multitargeted drug design.
authors.affiliation: Pharmaceutical Discovery Division, Abbott Laboratories, Abbott Park, Illinois, USA.
authors.forename: James T
authors.initials: JT
authors.lastname: Metz
authors.forename: Eric F
authors.initials: EF
authors.lastname: Johnson
authors.forename: Niru B
authors.initials: NB
authors.lastname: Soni
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Merta
authors.forename: Lemma
authors.initials: L
authors.lastname: Kifle
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Hajduk
mesh_terms: D015195:Drug Design; D010597:Pharmacogenetics / Q000379:methods*; D011494:Protein Kinases / Q000378:metabolism*; D020543:Proteome / Q000032:analysis / Q000037:antagonists & inhibitors* / Q000378:metabolism*; D049490:Systems Biology / Q000379:methods
chemical_list: D020543:Proteome; D011494:Protein Kinases