What is it about?
In the past two decades, artificial intelligence in drug discovery (AIDD) has emerged as a key development in the medical and health care sector. This paper provides insightful review on the trend, emerging themes, and future directions of AIDD research, offering a panoramic view of this evolving field.
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Why is it important?
Drug discovery is one of the critical human endeavors because we (people) are concerned with our health and well-being. We want longevity with good health. The study findings show that AIDD research has been rapidly growing over the past two decades, with a significant increase after 2017. At the moment, four clusters of research have emerged, namely AI for drug discovery, machine learning (such as SVM, decision trees, random forests) for classifying compounds, big data for target prediction, and CADD for docking and MD simulation.
Perspectives
Writing this article was a great pleasure as we could contribute to an important field that helps us to accelerate drug design, drug discovery, drug repurpose, etc.
Professor W.M. To
Macao Polytechnic University
Read the Original
This page is a summary of: Artificial Intelligence in Drug Discovery: A Bibliometric Analysis and Literature Review, Mini-Reviews in Medicinal Chemistry, January 2024, Bentham Science Publishers,
DOI: 10.2174/0113895575271267231123160503.
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