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人工智能在药物发现中的成功案例——现状如何?

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

机构信息

School of Postgraduate Studies and Research, International Medical University, Bukit Jalil, Malaysia.

Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Bukit Jalil, Malaysia.

出版信息

Expert Opin Drug Discov. 2022 Jan;17(1):79-92. doi: 10.1080/17460441.2022.1985108. Epub 2021 Oct 13.

Abstract

INTRODUCTION

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.

AREA COVERED

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.

EXPERT OPINION

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.

摘要

简介

人工智能(AI)在药物发现和开发(DDD)中的应用在过去几年中得到了更多关注。在这一领域已经有许多科学评论。因此,在这篇综述中,作者重点关注了人工智能驱动的候选药物的成功案例,以及该领域文献的科学计量分析。

涵盖领域

作者探索文献,编译目前正在临床试验中评估或具有新药临床试验(IND)地位的人工智能驱动候选药物的成功案例。作者还为读者提供了他们对未来发展的专业观点,以及对该领域的看法。

专家意见

人工智能公司与制药行业之间的合作正在蓬勃发展。人工智能对 DDD 的早期影响迹象令人鼓舞,制药行业也希望有所突破。人工智能可能是揭示最大成功的有前途的技术,但它仍有待证明,因为人工智能仍处于起步阶段。

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