Target identification and assessment in the era of AI
Summary
Drug discovery and development is time-intensive, expensive and laden with risk. Identifying the right drug targets is crucial for increasing the probability of success, but traditional target identification and validation often take years, and a target is only fully validated once a drug based on it receives approval by regulatory agencies. Given its proficiency in analysing large datasets and intricate biological networks, artificial intelligence (AI) is playing an increasingly important
Content
# Target identification and assessment in the era of AI
*Published: 2026 Apr 20*
Drug discovery and development is time-intensive, expensive and laden with risk.
Identifying the right drug targets is crucial for increasing the probability of
success, but traditional target identification and validation often take years,
and a target is only fully validated once a drug based on it receives approval
by regulatory agencies. Given its proficiency in analysing large datasets and
intricate biological networks, artificial intelligence (AI) is playing an
increasingly important role in drug target identification and assessment. This
article reviews recent advances in target discovery, emphasizing key
considerations in target selection and breakthroughs in the application of
AI-driven approaches for therapeutic target exploration, as well as challenges
and limitations. We also highlight examples where AI tools have enabled or
supported the identification of targets for which drug candidates have entered
clinical trials.
DOI: 10.1038/s41573-026-01412-8