Affiliation:
1. Galgotias University, India
2. School of Computing Science and Engineering, Galgotias University, India
3. National Institute of Fashion Technology, New Delhi, India
Abstract
Big data plays a crucial role in drug discovery, simplifying and streamlining the complex process by leveraging large datasets in both chemical and biological aspects. From target validation to clinical trials, big data aids in various stages of drug development, enhancing efficiency and support through AI applications. This integration of big data with AI tools significantly improves the drug discovery process, making it less time-consuming and more effective. The chapter explores the significance of big data in drug research, emphasizing its application in hit identification for therapeutic targets and the success stories associated with screening platforms. It delves into the foundations of big data in drug research, elucidating its significance, challenges, and potential, while navigating through the intricacies of data collection, integration, storage, and management. It highlights the importance of data quality, security, and governance.
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