puzzle picture
615 (<15): CASP10 Refinement Puzzle: TR754
Status: Closed

Soloists

RankPlayerGroupScorePoints
1OmniDude 78 1584 Void Crushers9,188100
2erlorad 78 1584  9,13698
3evilgrinners 78 1584  9,09096
4edpalas 78 1584  9,05694
5acalhoon 78 1584  9,00791
6rwillett 78 200 Void Crushers8,98389
7major0103 78 1584  8,94887
8Marcelsan 78 1584  8,93485
9blennus 78 1584  8,93483
10FatherKronos 78 1584  8,91781
11config 78 1584  8,88679
12NightRider 78 1584  8,87677
13ccwing7328 78 1584  8,87175
14xili 78 1584  8,86774
15Nikolassa 78 1584  8,81472
16molleke 78 1028  8,81470
17Matocha 78 1584  8,81068
18ka9dgx 78 1584  8,78667
19CMAN 78 1584  8,78165
20rasse1221 78 1584  8,78063
21Doriphor 78 1584  8,77062
22goracio 78 1584  8,74560
23karoline314159 78 1584  8,73959
24Cloud Leviathan 78 1584  8,72657
25Quark150 78 1584 Argentina8,71456


Need this puzzle? Log in to download.  

Comments

beta_helix's picture
User offline. Last seen 5 days 13 hours 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=211

Note that the organizers gave us this hint:

"Starting model's GDT_TS=77."

GDT_TS=77 essentially means that ONLY 77% of the model superimposes correctly onto the native structure:
http://en.wikipedia.org/wiki/Global_distance_test

Joined: 08/10/2012
Top 3

Is it possible to see the final folds for the top 3 finishers in this category? As a novice, I think it would be very helpful to see what some winning folds look like!

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