Research Center for Computer-Aided Drug Discovery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; AlphaMol Science Ltd, CH-4123 Allschwil, Switzerland.
Shanghai Institute of Pharmaceutical Industry, Shanghai 200040, China.
Trends Pharmacol Sci. 2019 Aug;40(8):592-604. doi: 10.1016/j.tips.2019.06.004. Epub 2019 Jul 15.
Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 billion USD and takes 12 years on average. How to decrease the costs and speed up new drug discovery has become a challenging and urgent question in industry. Artificial intelligence (AI) combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective. We discuss here emerging applications of AI to improve the drug discovery process.
药物研发是对人类健康和福祉贡献最大的转化科学活动之一。然而，开发一种新药是一个非常复杂、昂贵且漫长的过程，通常需要 26 亿美元的成本，平均需要 12 年的时间。如何降低成本并加快新药研发已成为业界面临的一个具有挑战性和紧迫性的问题。人工智能（AI）与新的实验技术相结合，有望使新药的研发更快、更便宜、更有效。我们在这里讨论 AI 在改善药物发现过程中的新兴应用。
