Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: https://t.co/F4qSUELVLA
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@gbouritsas@kfountou It’s not a bad suggestion! I don’t think it’s been studied thoroughly if ordering matters so much and it might be worth looking into.
You can find a good list of tasks in https://t.co/p7DdyGhXeV
our paper with @befcorreia@FreyrSverrisson@FeydyJean on fast learning on proteins is accepted to @CVPR End-to-end differentiable architecture, precomputations on the fly, more accurate and x100 faster than #MaSIF
https://t.co/Bk1FAHCQYI
Code coming soon
We are #hiring a postdoc🧐to work on the intersection between #AI and computational protein design. The project will be carried out at EPFL in collaboration with @befcorreia, @mmbronstein, @trekkinglemon, and @SDSCdatascience. More information below 👇
Spread the word!🗣️
"Deciphering interaction fingerprints from #protein molecular surfaces using geometric #deeplearning" is among the #SIBRemarkableOutputs 1st edition:
🥁Find out what the committee said about the work
➡️Add it to your 'must-reads'
🔗Access related resources
https://t.co/jpW9C5aRrY
This figure provides a glimpse of the future of epidemiology. Contact tracing coupled to genome sequencing for understanding and controlling a pandemic. Incredible work by the computational biologists at deCODE genetics. https://t.co/elb0QpKSwb
Join us this afternoon for the AI & Molecular World track at #AMLD2020 @appliedlmdays, 1.30pm-5pm, Room 1A
Organised with @FreyrSverrisson@TheophileGaudin@pgainza and @befcorreia.
(https://t.co/AuFGARhdLR)
Thrilled to have such a brilliant set of speakers this year ⬇️: