Artificial intelligence in drug discovery and development

药物发现 药物开发 药学 计算生物学 计算机科学 药品 数据科学 药理学 医学 生物信息学 生物
作者
Debleena Paul,Gaurav Sanap,Snehal Shenoy,Dnyaneshwar Kalyane,Kiran Kalia,Rakesh Kumar Tekade
出处
期刊:Drug Discovery Today [Elsevier BV]
卷期号:26 (1): 80-93 被引量:1537
标识
DOI:10.1016/j.drudis.2020.10.010
摘要

• Artificial Intelligence (AI) has revolutionized many aspects of the pharmaceuticals. • AI assistance to pharma industries helps to improve overall life cycle of product. • AI can be implemented in pharma ranging from drug discovery to product management. • Future challenges related to AI and their respective solutions have been expounded. Artificial Intelligence (AI) has recently started to gear-up its application in various sectors of the society with the pharmaceutical industry as a front-runner beneficiary. This review highlights the impactful use of AI in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. to name a few, thus reducing the human workload as well as achieving targets in a short period. Crosstalk on the tools and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them, along with the future of AI in the pharmaceutical industry, is also discussed. Artificial intelligence-integrated drug discovery and development has accelerated the growth of the pharmaceutical sector, leading to a revolutionary change in the pharma industry. Here, we discuss areas of integration, tools, and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them.
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