puzzle picture
579 (<150): Beginner CASP10 Refinement Puzzle: TR662
Status: Closed

Summary

Name: 579 (<150): Beginner CASP10 Refinement Puzzle: TR662
Status: Closed
Created: 06/15/2012
Points: 100
Expired: 06/24/2012 - 12:00
Difficulty: Beginner
Description: This is the fourth CASP10 Refinement Target. This model was the best server prediction for target T0662, generated by the Zhang server. We've been told that ~84% of this model matches the native, so you just need to find which 16% to refine! More info in the puzzle comments. For players with fewer than 150 global points.
Categories: Beginner

Top Groups

Top Soloists

RankPlayerGroupScorePoints
1ComputerMage 79 191 Russian team9,785100
2sjoerdouwe 79 1450  9,78189
3kleinesregenbog... 79 1450  9,76478
4Nighty 79 751  9,74969
5AIDA64 79 1450  9,69952


Need this puzzle? Log in to download.  

Comments

beta_helix's picture
User offline. Last seen 13 hours 19 min ago. Offline
Joined: 05/09/2008
Groups: None
START HERE:

If you are new to Foldit, here are detailed instructions to get you started:
http://fold.it/portal/node/988864

____________________________________________________________________________

This is the page for this CASP10 refinement target:
http://predictioncenter.org/casp10/target.cgi?id=110&view=refinement

Note that the organizers give us this as a hint:

"N-term res. 1-4 are disordered in the native structure and removed from the starting model. Starting GDT_TS=84."

So, the first 4 residues have been deleted.

GDT_TS=84 essentially means that 84% of the model superimposes correctly onto the native structure:
http://en.wikipedia.org/wiki/Global_distance_test

Get Started: Download
  Windows    OSX    Linux  
Windows
(7/8/10)
OSX
(10.7 or later)
Linux
(64-bit)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Search
Only search fold.it
Recommend Foldit
User login
Soloists
Evolvers
Groups
Topics
Top New Users
Sitemap

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