药物发现
变构调节
计算机科学
数据科学
计算生物学
纳米技术
人工智能
生物信息学
化学
生物
材料科学
生物化学
酶
作者
María‐Jesús Blanco,Melissa J. Buskes,Rajiv Gandhi Govindaraj,Jonathan J. Ipsaro,Joann E. Prescott-Roy,Anil K. Padyana
标识
DOI:10.1021/acsmedchemlett.4c00260
摘要
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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