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Developing AlphaFold 3: Biomolecular structure prediction with AI

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If you have a question about this talk, please contact Caroline Newnham .

Host - Michael Boemo

In recent years, substantial progress has been made on accurate prediction of protein structures. This naturally leads us to a new ambitious goal: predicting structures that contain non-protein components like DNA , RNA, ligands, and ions. Doing so would expand the range of situations where prediction is immediately useful to biologists, while also providing a foundation for future computational research. I will discuss our group’s work on this problem, which led to the development of AlphaFold 3. I plan to cover the high level architectural changes compared to AlphaFold 2, and to comment on model evaluation. 

This talk is part of the Genetics Seminar series.

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