title: The role of translational bioinformatics in drug discovery.
abstract: The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry. By utilizing the rapidly increasing volume of data at all phases of drug discovery, translational bioinformatics is poised to address some of the key challenges faced by the industry. Indeed, computational analysis of clinical data and patient records has informed decision-making in multiple aspects of drug discovery and development. Here, we review key examples of translational bioinformatics approaches to emphasize its potential to enhance the quality of drug discovery pipelines, reduce attrition rates and, ultimately, lead to more effective treatments.
authors.affiliation: GlaxoSmithKline, Computational Biology, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, UK.
authors.forename: Natalie S
authors.initials: NS
authors.lastname: Buchan
authors.forename: Deepak K
authors.initials: DK
authors.lastname: Rajpal
authors.forename: Yue
authors.initials: Y
authors.lastname: Webster
authors.forename: Carlos
authors.initials: C
authors.lastname: Alatorre
authors.forename: Ranga Chandra
authors.initials: RC
authors.lastname: Gudivada
authors.forename: Chengyi
authors.initials: C
authors.lastname: Zheng
authors.forename: Philippe
authors.initials: P
authors.lastname: Sanseau
authors.forename: Jacob
authors.initials: J
authors.lastname: Koehler
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D055808:Drug Discovery / Q000379:methods*; D004345:Drug Industry / Q000379:methods; D006801:Humans