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907b: CASP11 Target Ts763: Sparse Data Contacts
Status: Closed

Summary

Name: 907b: CASP11 Target Ts763: Sparse Data Contacts
Status: Closed
Created: 06/06/2014
Points: 100
Expired: 06/09/2014 - 23:59
Difficulty: Intermediate
Description: NOTE: This puzzle replaces Puzzle 907, which included a much larger set of contact predictions. All contacts now have equal weight, and players should aim to satisfy as many contacts as possible.

For this target, the CASP11 organizers have provided "sparse" experimental data about possible contacts in the protein. Contacts are scored with the Contact Map filter in this puzzle, and there is an upper limit of 2000 possible points from the filter. Contact predictions are provided only for residues 31-160, so focus on that region of the protein! Players may load in solutions from Puzzles 888 and 894 and we've provided you with 5 Robetta server models. Restart the puzzle to cycle through the alternate starting structures.
Categories: CASP11, Overall, Predicted Contacts, Prediction

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Comments

Susume's picture
User offline. Last seen 10 hours 39 min ago. Offline
Joined: 10/02/2011
Criteria for making contacts

The contacts given by the casp organizers have maximum distances - are the distances used by foldit similar to these, or are some of the casp contacts further apart than what foldit requires?

bkoep's picture
User offline. Last seen 4 hours 56 min ago. Offline
Joined: 11/15/2012
Groups: None
CASP contact distances

The CASP contacts include distances between specific hydrogens (usually the backbone amides of two residues), whereas the Contact Filter measures distances between the beta-carbons of two residues.

For the most part, we expect these two different measurements to yield similar results, but there may be small inconsistencies.

For targets with fewer contacts, we may be able to use the specific hydrogen-hydrogen constraints provided by CASP.

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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