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User of the Day

Predictor of the day

Predictor of the day: Congratulations to Russell Boltz (Team FurRosetta) for predicting the lowest energy structure for workunit bdc608de0008ce....
15 Feb 2019, 0:00:00 UTC · Discuss

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Predictor of the day is available as an RSS feed   RSS
As of 15 Feb 2019, 20:00:51 UTC [ Scheduler running ]
Total queued jobs: 975,914
In progress: 360,864
Successes last 24h: 185,161
Users (last day ): 1,292,823 (+27)
Hosts (last day ): 2,448,479 (+1052)
Credits last 24h : 33,097,231
Total credits : 76,203,068,663
TeraFLOPS estimate: 330.972


Another publication in Nature describing the first de novo designed proteins with anti-cancer activity

A report was published in Nature last week describing the first de novo designed proteins with anti-cancer activity.

These compact molecules were designed to stimulate the same receptors as IL-2, a powerful immunotherapeutic drug, while avoiding unwanted off-target receptor interactions. We believe this is just the first of many computer-generated cancer drugs with enhanced specificity and potency.

R@h participants provided computing for forward folding experiments used in this study which helped validate designs. We'd like to congratulate and thank all R@h volunteers who contributed to this work! Thank you!

Read the full article here: (PDF)

14 Jan 2019, 22:58:59 UTC · Discuss

Nature article on IPD work voted ‘2018 Reader’s Choice’

Readers of Nature’s News & Views selected an article about our work as their 2018 Reader’s Choice!

The article, written by Roberto Chica of University of Ottawa, does a fantastic job detailing our recent publication on de novo fluorescence-activating proteins — and the challenges of de novo protein design more generally.

4 Jan 2019, 1:06:51 UTC · Discuss

New publication in Nature: programmable heterodimers

A new report was recently published in Nature describing the design of proteins that mimic DNA.

Using computational design, heterodimeric proteins that form double helices with hydrogen-bond mediated specificity were created. When a pool of these new protein zippers gets melted and then allowed to refold, only the proper pairings form. They are all-against-all orthogonal. With these new tools in hand, it may be possible to construct large protein-based machines that self-assemble in predictable ways.

Read the full article here: (PDF)

We'd like to thank all Rosetta@home volunteers who contributed computing resources used in this work. Thank you!

4 Jan 2019, 0:57:58 UTC · Discuss

De novo design of self-assembling helical protein filaments

Another de novo design publication was released today describing the design of micron scale self-assembling helical filaments based on previously designed repeat proteins for which R@h participants contributed computing towards. Although R@h was not directly used for this study, R@h participants provided computing for related research. Thank you all for your continued contributions.

Read more here in Science.

9 Nov 2018, 19:40:30 UTC · Discuss

De novo design of jellyroll structures

Sorry for the late post. Last week the Baker lab and collaborators published the first example of proteins designed with non-local beta strand topology.

You can read more about this study here and the publication here.

Thanks to all Rosetta@home participants who contributed to this research.

8 Nov 2018, 23:02:02 UTC · Discuss

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