Bioinformatics in translational drug discovery

Wooller, Sarah K, Benstead-Hume, Graeme, Chen, Xiangrong, Ali, Yusuf and Pearl, Frances MG (2017) Bioinformatics in translational drug discovery. Biosience Reports, 37 (4). pp. 1-13. ISSN 0144-8463

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Abstract

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.

Item Type: Article
Schools and Departments: School of Life Sciences > Biochemistry
School of Life Sciences > Sussex Centre for Genome Damage and Stability
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Depositing User: Frances Pearl
Date Deposited: 08 Aug 2018 12:03
Last Modified: 02 Jul 2019 15:00
URI: http://sro.sussex.ac.uk/id/eprint/77617

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