Artificial Intelligence for Drug Discovery: Are We There Yet?

University of New Mexico

PubMed
Indexed inarxivcrossrefpubmed

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
total citations
FWCI
37.67
Percentile
100%
References
166
Citations per year

Authors

2

Topics & keywords

Keywords
  • Drug discovery
  • Drug
  • Data science
  • Computer science
  • Pharmacology
  • Medicine
  • Bioinformatics
  • Biology
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