李翛然 (2023-05-29 22:06):
#paper doi:https://doi.org/10.1016/j.eng.2023.01.014 Artificial Intelligence in Pharmaceutical Sciences 这篇文章是国内几个大学发表在 engineer的综述文章,我的评价就是对于想进入AI制药领域的来说,是一个对于历史的很好总结,不过对于未来的展望,明显还是功力不足。 是一个纯外行的角度,在看制药行业的发展,明显没有深入制药领域并结合AI来进行分析。 这篇文章大家可以作为一个入门文章看一看。
IF:10.100Q1 Engineering, 2023. DOI: 10.1016/j.eng.2023.01.014
Artificial Intelligence in Pharmaceutical Sciences
翻译
Abstract:
Drug discovery and development affects various aspects of human health and dramatically impacts the pharmaceutical market. However, investments in a new drug often go unrewarded due to the long and complex process of drug research and development (R&D). With the advancement of experimental technology and computer hardware, artificial intelligence (AI) has recently emerged as a leading tool in analyzing abundant and high-dimensional data. Explosive growth in the size of biomedical data provides advantages in applying AI in all stages of drug R&D. Driven by big data in biomedicine, AI has led to a revolution in drug R&D, due to its ability to discover new drugs more efficiently and at lower cost. This review begins with a brief overview of common AI models in the field of drug discovery; then, it summarizes and discusses in depth their specific applications in various stages of drug R&D, such as target discovery, drug discovery and design, preclinical research, automated drug synthesis, and influences in the pharmaceutical market. Finally, the major limitations of AI in drug R&D are fully discussed and possible solutions are proposed.
翻译
回到顶部