The use of bioinformatics methods in translational drug discovery is becoming increasingly important in both academia and the pharmaceutical industry. Key difficulties in the process can now be solved by computational exploitation of the growing volumes of data produced across all stages of the drug discovery process. Here, we highlight a few of the areas where bioinformatics tools and techniques are being created to aid the pipeline for discovering new drugs (Ebeye OA et al., 2007). These include the development of sizable data warehouses, the use of bioinformatics algorithms to analyse "big data" in order to find new drug targets and/or biomarkers, programmes to evaluate the tractability of targets, and the forecasting of repositioning opportunities for the use of approved medications to treat additional indications (Friday U et al., 2015).
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