title: Predicting drug side-effects by chemical systems biology.
abstract: New approaches to predicting ligand similarity and protein interactions can explain unexpected observations of drug inefficacy or side-effects.
authors.affiliation: Training Program in Biomedical Informatics, Stanford University, Stanford, CA 94305, USA.
authors.forename: Nicholas P
authors.initials: NP
authors.lastname: Tatonetti
authors.forename: Tianyun
authors.initials: T
authors.lastname: Liu
authors.forename: Russ B
authors.initials: RB
authors.lastname: Altman
mesh_terms: D001665:Binding Sites; D019295:Computational Biology; D015195:Drug Design; D055808:Drug Discovery; D064420:Drug-Related Side Effects and Adverse Reactions / Q000175:diagnosis* / Q000378:metabolism; D006801:Humans; D004364:Pharmaceutical Preparations / Q000737:chemistry* / Q000378:metabolism; D025941:Protein Interaction Mapping / Q000379:methods* / Q000639:trends; D049490:Systems Biology / Q000379:methods* / Q000639:trends
chemical_list: D004364:Pharmaceutical Preparations