NGBS2022 Talk 8: AlphaFold and its implications for understanding biology- John Jumper  @LMBCambridge
NGBS2022 Talk 8: AlphaFold and its implications for understanding biology- John Jumper  @LMBCambridge
MRC Laboratory of Molecular Biology | NGBS2022 Talk 8: AlphaFold and its implications for understanding biology- John Jumper @LMBCambridge | Uploaded October 2022 | Updated October 2024, 2 hours ago.
AlphaFold and its implications for understanding biology
Speaker: John Jumper, DeepMind, London, UK
Chair: Chris Johnson, MRC Laboratory of Molecular Biology, UK
Co-Chair: Maria Flocco, AstraZeneca, UK

John Jumper describes how AlphaFold predicts highly accurate protein structures from amino acid protein sequence. He highlights the role of the critical assessment in structure prediction (CASP) in stimulating development. He gives an overview of how AlphaFold predicts structures through a process of deep-learning using a neural network. He looks forward to the major challenges in further developments of prediction especially interactomes, conformation states, and the effect of mutation.

Read more about John Jumper and DeepMinds’s work here:
deepmind.com/research

You can find more about the Next Generation Biophysics Symposium 2022 here:
www3.mrc-lmb.cam.ac.uk/sites/nextgen

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NGBS2022 Talk 8: AlphaFold and its implications for understanding biology- John Jumper @LMBCambridge

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