Here are some references suggested by the HitchhikersAI community:
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A dynamic map for learning, communicating, navigating and improving therapeutic development, John Wagner et al, Nature Reviews Drug Discovery volume 17, page 150 (2018)
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AI in biopharma research: A time to focus and scale, October 10, 2022, McKinsey
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Artificial intelligence in drug development: present status and future prospects, Kit-Kay Mak et al, Drug Discovery Today, Volume 24, Issue 3, March 2019, Pages 773-780
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Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet, Andreas Bender et al, Drug Discovery Today, Volume 26, Issue 2, February 2021, Pages 511-524
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Evaluation guidelines for machine learning tools in the chemical sciences, Andreas Bender et al, Nature Reviews Chemistry volume 6, pages 428–442 (2022)
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Critical assessment of AI in drug discovery, W. Patrick Walters et al, Pages 937-947, Expert Opinion on Drug Discovery Volume 16, 2021 - Issue 9: Artificial Intelligence (AI) in Drug Discovery
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Best practices for machine learning in antibody discovery and development, Leonard Wossnig et al, December 2023
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Unlocking the Potential of AI in Drug Discovery, June 2023, Boston Consulting Group
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Cultures of data mining in pharmaceutical drug discovery, Work in Progress Report, Itzelle Medina Perea et al, December 2023
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The Unreasonable Effectiveness of Mathematics in the Natural Sciences, Eugene Wigner, Communications in Pure and Applied Mathematics, Vol. 13, No. I (February 1960)
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AI-driven drug discovery has led to more than 30 assets in clinical trials, up from 0 in 2020, Artis Ventures
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Using chemical and biological data to predict drug toxicity, Srijit Seal et al, SLAS Discovery, Vol 28, Issue 3, April 2023, Pages 53-64
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A Plan Is Not a Strategy, Roger Martin, Dean, Rotman School of Management at the University of Toronto, 2023.
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Bringing computation to biology by bridging the last mile, Anne Carpenter et al, Nature Cell Biology, Volume 26, January 2024, Pages 5 - 7
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The Right Data for Good Results: Introducing the 5 ‘V’s of Drug Discovery Data, Leo Wossnig, July 2023.
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Results of CACHE Challenge #1, CACHE.
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REINVENT 4: Modern AI–Driven Generative Molecule Design, Hannes Loffler et al, Astrazeneca, November 2023.
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A no-code method for explorative testing of scientific hypotheses in drug discovery, Truter et al, Dec 2024