puzzle picture
601 (<150): CASP10 Refinement Puzzle: TR723
Status: Closed

Summary

Name: 601 (<150): CASP10 Refinement Puzzle: TR723
Status: Closed
Created: 07/14/2012
Points: 100
Expired: 07/28/2012 - 23:00
Difficulty: Beginner
Description: This is the twelfth CASP10 Refinement Target. This model was the best server prediction for target T0723, generated by the Matrix server. We've been told that ~85% of this model matches the native, so you just need to find which 15% to refine! More info in the puzzle comments. For players with fewer than 150 global points.
Categories: Beginner

Top Groups

RankGroupScorePoints
1BOINC@Poland10,739100
2Anthropic Dreams10,66567
3E?????! Heureka!10,63243
4L'Alliance Francophone10,61927
5TT-group10,61816

Top Soloists

RankPlayerGroupScorePoints
1greepski 60 2065  10,999100
2phallicies 60 2065  10,91097
3Foreman2317 60 2065  10,83494
4Rispervisper 60 2065  10,82091
5sheerbliss 60 2065  10,77588


Need this puzzle? Log in to download.  

Comments

beta_helix's picture
User offline. Last seen 3 hours 17 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=173

Note that the organizers gave us this hint:

"Starting model GDT_TS=85."

GDT_TS=85 essentially means that 85% of the model superimposes correctly onto the native structure:
http://en.wikipedia.org/wiki/Global_distance_test

User login
Download links:
  Windows    OSX    Linux  
Windows
(7/8/10)
OSX
(10.12 or later)
Linux
(64-bit)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Social Media


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