Instructions for the Class Blogs are here. Blogging teams should submit a PR with the class blog no later than 5 days after the class (with an expectation that it will be posted on the course site within one week of the class). News and Lead teams should share any materials with the Blog team right after the class.
Readings for Tuesday, 27 January:
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John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, and Demis Hassabis. Highly accurate protein structure prediction with AlphaFold. Nature, 26 August 2021.
[PDF Link]
Optional: There is an “AlphaFold 3” now, described in this paper, but you are not expected to read this one. -
David Ampudia Vicente and George Richardson. AI in Science: Emerging evidence from AlphaFold 2. 25 November 2025. [PDF Link] (Original paper and full report is available for https://www.innovationgrowthlab.org/resources/ai-in-science-alphafold-2, but you are only expected to ready the summary report in the PDF Link.)
Reading for Thursday, 29 January:
- Ethan Goh, Robert J. Gallo, Eric Strong, Yingjie Weng, Hannah Kerman, Jason A. Freed, Joséphine A. Cool, Zahir Kanjee, Kathleen P. Lane, Andrew S. Parsons, Neera Ahuja, Eric Horvitz, Daniel Yang, Arnold Milstein, Andrew P. J. Olson, Jason Hom, Jonathan H. Chen and Adam Rodman. GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial. Nature Medicine, February 2025. [PDF Link] [Web Link]