Big Data Analytics in Drug Discovery

Bioinformatics is a data-driven branch of science, with many of the algorithms and databases developed or adapted in response to new types of data. Bioinformatic analysis accelerate drug target identification and drug candidate screening and refinement, facilitate characterization of side effects and predict drug resistance. High-throughput data such as genomic, epigenetic, proteomic, and ribosome profiling data have all made significant contribution to mechanism-based drug discovery and drug repurposing. The process of drug discovery requires the analysis, collection, and processing of unstructured and structured data which forms a very huge volume to explore. To examine in detail, such diversified types of data in huge volumes for purpose of discovery of the drug, we need to have algorithms that are scalable, efficient, effective and simple.