puzzle picture
614: CASP10 Refinement Puzzle: TR724
Status: Closed


Name: 614: CASP10 Refinement Puzzle: TR724
Status: Closed
Created: 08/02/2012
Points: 100
Expired: 08/13/2012 - 22:00
Difficulty: Intermediate
Description: The twenty-third CASP10 Refinement Target was the best server prediction for target T0724, generated by the slbio server. We've been told that ~60% of this model matches the native, so you'll need to significantly change the starting model. More info in the puzzle comments.
Categories: CASP10, Overall, Prediction

Top Groups

1Anthropic Dreams10,861100
2Void Crushers10,84779
4Beta Folders10,78347
5L'Alliance Francophone10,73636

Top Evolvers

Top Soloists

1hpaege 68 1814  10,859100
2Madde 68 1814 Void Crushers10,84798
3johnmitch 68 34  10,83395
4BitSpawn 68 1814 Anthropic Dreams10,80993
5gmn 8 8 Anthropic Dreams10,80190

Need this puzzle? Log in to download.  


beta_helix's picture
User offline. Last seen 1 day 14 hours ago. Offline
Joined: 05/09/2008
Groups: None
More info here:

This is the page for this CASP10 refinement target:

The CASP10 organizers gave us this hint:

"Starting model GDT_TS=60."

GDT_TS=60 essentially means that 60% 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 35, 44, 53, 63 & 87 are highly predicted to be part of a sheet. However, the Alanines at residues 11 & 49-50 are predicted to be in anything.

User login
Download links:
  Windows    OSX    Linux  
(10.12 or later)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Social Media

Only search fold.it
Other Games: Mozak
Recommend Foldit
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, Boehringer Ingelheim, RosettaCommons