Artificial Intelligence for Drug Discovery: Are We There Yet?
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Abstract
Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug discovery, as indicated by increasing interest from investors, industrial and academic scientists, and legislators. Successful drug discovery requires optimizing properties related to pharmacodynamics, pharmacokinetics, and clinical outcomes. This review discusses the use of AI in the three pillars of drug discovery: diseases, targets, and therapeutic modalities, with a focus on small-molecule drugs. AI technologies, such as generative chemistry, machine learning, and multiproperty…
Citation impact
197
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- FWCI
- 37.67
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- 100%
- References
- 166
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Authors
2Topics & keywords
Topics
Keywords
- Drug discovery
- Drug
- Data science
- Computer science
- Pharmacology
- Medicine
- Bioinformatics
- Biology
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