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New Release!

Hey all,

We've just released an update with the following fix:

Bug Fixes:
* Fixed a crash related to enabling/disabling filters (https://fold.it/portal/node/2009855)

Thanks to our devprev players for testing this release! We have a few more bug fixes that should be coming to devprev shortly, so keep an eye out.

(Tue, 08/04/2020 - 18:55  |  0 comments)

Foldit Lab Report #11: Deep Learning

Details of a new research paper that Foldit players contributed to! In it, scientists at the University of Washington and at Harvard developed a new, machine-learning based method for protein design. Watch our latest lab report for more.

- How did Foldit help with the new deep learning paper?

- Coronavirus binders & anti-inflammatory design
- More symmetric design, and the problem of aggregation

- NinjaGreg made a sweet symmetric trimer!
See for yourself in the Design of the Month sandbox puzzle!

(Sat, 08/01/2020 - 13:20  |  4 comments)

New blog post walk-through of research paper

See the blog for a walk-through of new research about energy landscape optimization!

Researchers used the work of Foldit players to help develop a new method for protein design. Due to their contributions, Foldit players will be listed as authors on the paper. The new blog post reviews the main points of the paper, but you can read a full pre-print here.

(Fri, 07/31/2020 - 21:39  |  0 comments)

Newsletter July 24: A Good Week for Go Science

Hey Folders! Missed the latest newsletter? Check it out on our blog here. Don't forget to sign up for the mailing list to receive weekly updates about Foldit!

(Wed, 07/29/2020 - 18:55  |  0 comments)

Foldit Newsletter July 17: Bonjour Encore Triple Hélice

Hey folders! Missed the latest newsletter? Check it out on our blog here. Don't forget to sign up for the mailing list here to receive weekly updates about Foldit!

(Fri, 07/24/2020 - 03:49  |  0 comments)
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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, RosettaCommons