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SUMMARY:Developing AlphaFold 3: Biomolecular structure prediction with AI 
 - Dr Kathryn Tunyasuvunakool from DeepMind\, London   
DTSTART:20241128T130000Z
DTEND:20241128T140000Z
UID:TALK218983@talks.cam.ac.uk
CONTACT:Caroline Newnham
DESCRIPTION:In recent years\, substantial progress has been made on accura
 te prediction of protein structures. This naturally leads us to a new ambi
 tious goal: predicting structures that contain non-protein components like
  DNA\, RNA\, ligands\, and ions. Doing so would expand the range of situat
 ions where prediction is immediately useful to biologists\, while also pro
 viding 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 Alpha
 Fold 2\, and to comment on model evaluation. 
LOCATION:Biffen Lecture theatre and Zoom
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