title: Translational bioinformatics: data-driven drug discovery and development.
abstract: Internet-accessible computing power and data-sharing mandates now enable researchers to interrogate thousands of publicly available databases containing molecular, clinical, and epidemiological data. With emerging new approaches, translational bioinformatics can now provide answers to previously untouchable questions, ranging from detecting population signals of adverse drug reactions to clinical interpretation of the whole genome. There are challenges, including lack of access to some data sources and software, but there are also overwhelming doses of hopes and expectations.
authors.affiliation: 1Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA. abutte@stanford.edu
authors.forename: A J
authors.initials: AJ
authors.lastname: Butte
authors.forename: S
authors.initials: S
authors.lastname: Ito
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000639:trends*; D003201:Computers; D016208:Databases, Factual; D030541:Databases, Genetic; D055808:Drug Discovery / Q000639:trends*; D006801:Humans; D010600:Pharmacology / Q000639:trends; D057170:Translational Research, Biomedical / Q000639:trends*