In the past several years there has been rapid adoption of artificial intelligence (AI) and machine learning (ML) tools for drug discovery. In this Microperspective, we comment on recent AI/ML applications to the discovery of allosteric modulators, focusing on breakthroughs with AlphaFold, structure-based drug discovery (SBDD), and medicinal chemistry applications. We discuss how these technologies are facilitating drug discovery and the remaining challenges to identify allosteric binding sites and ligands.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403745 | PMC |
http://dx.doi.org/10.1021/acsmedchemlett.4c00260 | DOI Listing |
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