puzzle picture
612: Quick CASP10 Refinement Puzzle: TR722
Status: Closed


Name: 612: Quick CASP10 Refinement Puzzle: TR722
Status: Closed
Created: 08/02/2012
Points: 70
Expired: 08/09/2012 - 17:00
Difficulty: Intermediate
Description: As mentioned in Puzzle 608: this Rosetta model was the best server prediction for target T0722, but only ~58% of this model matches the solved structure. We are giving you this model without symmetry, in case it folds up as a monomer. This quick puzzle is worth 70 global points. More info in the puzzle comments.
Categories: CASP10, Overall, Prediction

Top Groups

1Anthropic Dreams11,04070
2Void Crushers11,02451
4Beta Folders10,94225
5Russian team10,91917

Top Evolvers

Top Soloists

1johnmitch 80 10  11,07670
2BitSpawn 80 1610 Anthropic Dreams11,04068
3hpaege 80 56  11,03266
4Madde 80 1610 Void Crushers11,02363
5gmn 80 1610 Anthropic Dreams10,99461

Need this puzzle? Log in to download.  


beta_helix's picture
User offline. Last seen 3 days 15 hours ago. Offline
Joined: 05/09/2008
Groups: None
More info:

This is the page for this CASP10 refinement target:

Note that the organizers gave us this hint:

"Starting model GDT_TS=58."

GDT_TS=58 essentially means that ONLY 58% of the model superimposes correctly onto the native structure:

Here is the sequence logo predicted by the SAM server:

H = helix
E = sheet
C = loop (or coil)

The taller the letter at each position, the higher the probability of that specific secondary structure for that amino acid.

For example, the Valines at residues 23, 55, 85, 94, 112 & 115 are highly predicted to be part of a helix. However, the Valine at residue 34 is not predicted to be anything.

Get Started: Download
  Windows    OSX    Linux  
(10.7 or later)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Only search fold.it
Recommend Foldit
User login
Top New Users

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