AI in Drug Discovery

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Across
  1. 1. Type of machine learning technique widely applied in drug discovery (abbrev.)
  2. 4. Quality challenge for AI models in drug discovery
  3. 9. Process of finding new uses for existing drugs with AI
  4. 12. Factor assessed by AI to predict adverse effects of drug candidates
  5. 13. Term used when AI models give predictions without clear explanations
  6. 16. Type of medicine AI supports by personalizing therapies for patients
  7. 18. A biological molecule such as a protein or gene linked to disease
  8. 20. Property AI predicts to reduce late-stage failures in drug development
  9. 21. Measure of a drug’s effectiveness in treating a disease
  10. 22. Disease for which AI helped repurpose drugs like Baricitinib
  11. 23. Stage of trials where drugs are tested on human volunteers
  12. 25. DeepMind’s breakthrough AI that predicts protein structures
Down
  1. 2. Optimized molecule with improved drug-like properties
  2. 3. AI company that designed a fibrosis drug in only 18 months
  3. 5. AI company known for using deep learning to predict drug-target interactions
  4. 6. Approval process required before a drug reaches the market
  5. 7. Molecule that AI tools like AlphaFold predict the 3D structure of
  6. 8. Initial compound identified in drug discovery screening
  7. 10. Generative AI model often used to create novel drug-like molecules
  8. 11. Disease area where AI discovered a new treatment candidate
  9. 14. Future technology expected to enhance AI-driven drug simulations
  10. 15. Artificial intelligence technology transforming drug discovery
  11. 17. Data type including genomics and proteomics used in AI-based target identification
  12. 19. Company using knowledge graphs to uncover new therapeutic targets
  13. 24. AI technique used to analyze biomedical literature and clinical trial records
  14. 26. Short form for deep learning, a neural network-based AI approach