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Bioinformatics approaches are becoming ever more essential in translational drug discovery both in academia and within the pharmaceutical industry. Computational exploitation of the increasing volumes of data generated during all phases of drug discovery is enabling key challenges of the process to be addressed. Here, we highlight some of the areas in which bioinformatics resources and methods are being developed to support the drug discovery pipeline. These include the creation of large data warehouses, bioinformatics algorithms to analyse 'big data' that identify novel drug targets and/or biomarkers, programs to assess the tractability of targets, and prediction of repositioning opportunities that use licensed drugs to treat additional indications.

More information Original publication

DOI

10.1042/BSR20160180

Type

Journal article

Publication Date

2017-08-31T00:00:00+00:00

Volume

37

Keywords

computational biochemistry, drug discovery and design, genomics, Animals, Computational Biology, Drug Discovery, Humans