Big Data and AI in Natural Product Drug Discovery: Uncovering Hidden Medicinal Chemistry Gems
Bhawani Sankar Panigrahi, Akriti Dogra, K. Sivakumar, Shreni Diwakar, Yudhishther Singh Bagal, Mohini Upadhye · 2024
As Big Data and Artificial Intelligence (AI) have become more integrated, they have completely changed many fields, including drug development. Natural goods come from things like plants, animals, and microorganisms and have been used to make medicines. Using AI and Big Data analytics has become an interesting way to find out what hidden benefits natural products may have in the area of medicinal chemistry. This research looks into the role of Big Data and AI in natural product drug creation and gives a full picture of where things stand right now. Big Data algorithms make it possible to collect and carefully look at very large datasets that include genetic information, chemical structures, and biological tests. This helps researchers find new medicines that might work. In conclusion, using both Big Data and AI together in the field of natural product drug discovery has a lot of promise for finding useful medicinal chemistry information that wasn't known before. Utilizing these technologies, researchers can effectively explore the vast chemical landscape of natural products, thereby speeding up the finding and development of new pharmaceutical medicines.