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SUMMARY:AI Advances in Protein Folding and Variant Effect Prediction - Car
 oline Pier (University of Cambridge)
DTSTART:20260218T110000Z
DTEND:20260218T120000Z
UID:TALK244864@talks.cam.ac.uk
CONTACT:Rachel Zhang
DESCRIPTION:The 2024 Nobel Prize in Chemistry was awarded for computationa
 l protein design and AI-driven protein structure prediction breakthroughs\
 , highlighting the impact of Rosetta and AlphaFold. What are the architect
 ural differences between AlphaFold2 and AlphaFold3? How might the emergenc
 e of AlphaGenome shape the future landscape of in-silico variant effect pr
 ediction tools?\n\nThe journal club will discuss:\n\nPredicting Splicing f
 rom Primary Sequence with Deep Learning (Illumina\, 2019)\nhttps://www.cel
 l.com/cell/fulltext/S0092-8674(18)31629-5\n \nHighly accurate protein stru
 cture prediction with AlphaFold (DeepMind\, 2021)\nhttps://www.nature.com/
 articles/s41586-021-03819-2 \n\nEffective gene expression prediction from 
 sequence by integrating long-range interactions (DeepMind\, 2021)\nhttps:/
 /www.nature.com/articles/s41592-021-01252-x \n\nAccurate structure predict
 ion of biomolecular interactions with AlphaFold 3 (DeepMind\, 2024)\nhttps
 ://www.nature.com/articles/s41586-024-07487-w \n\nAdvancing regulatory var
 iant effect prediction with AlphaGenome (DeepMind\, 2026)\nhttps://www.nat
 ure.com/articles/s41586-025-10014-0
LOCATION:MR10\, Centre for Mathematical Sciences
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