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Review
. 2021 Jan;26(1):80-93.
doi: 10.1016/j.drudis.2020.10.010. Epub 2020 Oct 21.

Artificial intelligence in drug discovery and development

Debleena Paul  1 , Gaurav Sanap  1 , Snehal Shenoy  1 , Dnyaneshwar Kalyane  1 , Kiran Kalia  1 , Rakesh K Tekade  2
Affiliations
Review

Artificial intelligence in drug discovery and development

Debleena Paul et al. Drug Discov Today. 2021 Jan.

Abstract

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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Figures

Figure 1
Figure 1
Method domains of artificial intelligence (AI). This figure shows different AI method domains along with their subfields that can be implemented in different fields drug discovery and development.
Figure 2
Figure 2
Applications of artificial intelligence (AI) in different subfields of the pharmaceutical industry, from drug discovery to pharmaceutical product management.
Figure 3
Figure 3
Role of artificial intelligence (AI) in drug discovery. AI can be used effectively in different parts of drug discovery, including drug design, chemical synthesis, drug screening, polypharmacology, and drug repurposing.
Figure 4
Figure 4
Leading pharmaceutical companies and their association with Artificial Intelligence (AI) organizations that are working in fields including oncology, cardiovascular diseases, and central nervous system disorders.
See this image and copyright information in PMC

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