Rosetta@home
What is Rosetta@home?
Play the FoldIt interactive game!

Rosetta@home needs your help to determine the 3-dimensional shapes of proteins in research that may ultimately lead to finding cures for some major human diseases. By running the Rosetta program on your computer while you don't need it you will help us speed up and extend our research in ways we couldn't possibly attempt without your help. You will also be helping our efforts at designing new proteins to fight diseases such as HIV, Malaria, Cancer, and Alzheimer's (See our Disease Related Research for more information). Please join us in our efforts! Rosetta@home is not for profit.
Follow us on Twitter: @rosettaathome        

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Join Rosetta@home
  1. Rules and policies
  2. System requirements
  3. Download, install, and run BOINC
    When prompted, select Rosetta@home from the list of projects.
  4. A welcome from David Baker
  5. Donate
About
Returning participants
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    http://srv4.bakerlab.org/rosetta_cgi/cgi

User of the day                

Michael Profile
Professional gamer from the northern parts of Norway. Enjoy music, parties, football, gaming, books and films in my spare time. Also a student, and...
 
  Server Status as of 20 Jan 2017 8:00:08 UTC  
[ Scheduler running ]
Total queued jobs: 593,224
In progress: 207,813
Successes last 24h: 131,125
Users :
1,235,470
Hosts :
2,173,386
Credits last 24h :
11,803,862
Total credits :
51,443,764,868
TeraFLOPS estimate: 118.039

Jan 19, 2017
Predictor of the day: Congratulations to Maarting (Team Team.se) for predicting the lowest energy structure for workunit X_bb02_17_01_21_35_22_globalDocking_1_SAVE_ALL_OUT_462191_0 !

...more
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News  

Jan 19, 2017
More good news!

Our paper titled "Protein structure determination using metagenome sequence data" was released today in the journal Science. We would like to thank all Rosetta@Home participants who provided the computing required for this work. In the paper, we describe using predicted co-evolving contacts from metagenomics sequence data and Rosetta to accurately predict the structures for 622 protein families that are not represented in the PDB. Among these structures, over 100 were new folds. Since experimental protein structure determination is costly and often difficult, this study highlights the ability to use computational methods with metagenomics data for reliably structure determination. With the rapidly growing size of genomics data, the future in mapping the structure space of protein families looks bright! Thank you Rosetta@Home participants!

Here is an interesting perspective written by Johannes Söding about the paper and it's significance, "Big-data approaches to protein structure prediction".

and related news articles:

  • Big data (and volunteers) help scientists solve hundreds of protein puzzles
  • Seeking Structure With Metagenome Sequences
  • Decoding the Origami That Drives All Life



    Jan 9, 2017
    Happy New Year!

    As many of you are likely aware of, we had an outage yesterday that we are just recently recovering from. The University of Washington campus and surrounding Seattle area had a power outage that lasted for a couple hours. For more info about the outage click here. It may take a day or so to get back to normal operation. Sorry for any inconvenience.


    Sep 23, 2016
    Some good news!

    We recently published an article in Nature titled "Accurate de novo design of hyperstable constrained peptides". We would like to thank all Rosetta@Home participants for their help with this work. In the paper, we present computational methods for designing small stapled peptides with exceptional stabilities. These methods and designed peptides provide a platform for rational design of new peptide-based therapeutics. Constrained (stapled) peptides combine the stability of conventional small-molecule drugs with the selectivity and potency of antibody therapeutics. The ability to precisely design these peptides in custom shapes and sizes opens up possibilities for "on-demand" design of peptide-based therapeutics.

    Other developments described in the paper:

  • We can now accurately design 18-47 amino acid peptides that incorporate multiple cross-links.
  • We can now design peptides that incorporate unnatural amino acids. Specifically, we designed peptides with a mix of natural L-amino amino acids and D-amino acids (mirror images of L-amino acids). D-amino acids tend to provide better protease resistance and lower immunogenicity; both of which are desired properties in a therapeutic peptide. Unnatural amino acids also let us sample much more diverse shapes and functions.
  • We can now design peptides that are cyclized via a peptide bond between their N- and C-terminus. Cyclic peptides provide increased resistance against exopeptidases as they have no free ends, and thus are ideal candidates for engineering peptide therapeutics.

    We are now working to use these computational methods for designing peptides that target therapeutically relevant targets, such as, enzymes that impart antibiotic resistance in pathogenic bacteria.

    Structure prediction runs on Rosetta@Home for these designed peptide models played a key role in selection of good designs that were experimentally synthesized and characterized. Thank you all for your help in making this work possible! -- Gaurav B.

    For more information:

  • IPD News.
  • Nature paper "Accurate de novo design of hyperstable constrained peptides".
  • Nature review "The coming of age of de novo protein design".

    Sep 12, 2016
    In the last few weeks our project has experienced significant issues resulting in slower than usual work unit distribution, result processing, and credit granting. The cause of this was due to the increasingly large number of new hosts causing our database server to become very sluggish and eventually run out of disk space. Our short term solution was to reconfigure and optimize the project configuration and existing database server, purge old data quicker than usual, and temporarily stop resource intense database queries. This recovery mode will continue until the project stabilizes which may take a few days to a week.

    An interim solution will be to temporarily upgrade our database server and thanks to our sys admins, we already have a machine ready to go that has plenty of disk space and double the memory. The upgrade will require a day of downtime which is planned to happen early this week.

    The long term solution will be a complete system hardware upgrade to all our servers. The BOINC server software will also be upgraded. We are in the process of ordering these machines and hope to have them running within the next few months.

    The project is somewhat stable now and clients should be getting work as usual. However, result processing and credit granting may still be slow and our status information/page may not be up to date as we are in recovery mode and our servers continue to catch up on things. Work history will also be shortened to temporarily save space. We expect things to be back to normal in a few days to a week.

    Sorry for any inconvenience and thank you for your continued contributions!

    Sep 4, 2016
    We've had an unplanned project crash. The project is back online but you might experience interruptions while the system catches up.... -KEL [Sun Sep 4 07:53:59 PDT 2016]

    ...more

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