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jawz101's picture
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It says the University of Washington. I kinda wonder if we're just basically in a hamster wheel and they call us the A.I.

Why is helix the only thing that scores high? I always throw some sheets in my designs just because. Or why can't long loops get in there?

Susume's picture
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RoseTTAFold is the new UW model

Here is a nice overview at Nature of both the new UW model (RoseTTAFold) and the public release of the AlphaFold2 model: DeepMind’s AI for protein structure is coming to the masses

UW's paper on RoseTTAFold: Accurate prediction of protein structures and interactions using a three-track neural network

DeepMind's paper on AlphaFold2: Highly accurate protein structure prediction with AlphaFold

Susume's picture
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Prodding the giant

Here is a lengthy article from WIRED on the race between UW and DeepMind to make the latest structure prediction methods available for scientists to build on: Without Code for DeepMind’s Protein AI, This Lab Wrote Its Own

beta_helix's picture
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Thanks for the fun read, Susume!

Indeed one of the reviewers (in their blog) pointed out that:
"it was humorous to see people suggest that the open sourcing of AF2 was in response to RoseTTAFold—it was in fact DeepMind’s plan well before RoseTTAFold was preprinted."


Developed by: UW Center for Game Science, UW Institute for Protein Design, Northeastern University, Vanderbilt University Meiler Lab, UC Davis
Supported by: DARPA, NSF, NIH, HHMI, Amazon, Microsoft, Adobe, Boehringer Ingelheim, RosettaCommons