Success stories of AI in drug discovery - where do things stand?

药物发现 计算机科学 药品 医学 数据科学 心理学 计算生物学 药理学 生物信息学 生物
作者
Kit‐Kay Mak,Madhu Katyayani Balijepalli,Mallikarjuna Rao Pichika
出处
期刊:Expert Opinion on Drug Discovery [Taylor & Francis]
卷期号:17 (1): 79-92 被引量:38
标识
DOI:10.1080/17460441.2022.1985108
摘要

Artificial intelligence (AI) in drug discovery and development (DDD) has gained more traction in the past few years. Many scientific reviews have already been made available in this area. Thus, in this review, the authors have focused on the success stories of AI-driven drug candidates and the scientometric analysis of the literature in this field.The authors explore the literature to compile the success stories of AI-driven drug candidates that are currently being assessed in clinical trials or have investigational new drug (IND) status. The authors also provide the reader with their expert perspectives for future developments and their opinions on the field.Partnerships between AI companies and the pharma industry are booming. The early signs of the impact of AI on DDD are encouraging, and the pharma industry is hoping for breakthroughs. AI can be a promising technology to unveil the greatest successes, but it has yet to be proven as AI is still at the embryonic stage.

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