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BETA: Contact Map with Sigmoid Constraints
Status: Closed

Summary

Name: BETA: Contact Map with Sigmoid Constraints
Status: Closed
Created: 05/21/2014
Points: 0
Expired: 05/28/2014 - 23:00
Difficulty: Intermediate
Description: This is a new type of contact puzzle. It may not look much different on the outside, but the scoring of contacts is taken care of by a special type of constraint that is more appropriate to the information in contact maps. Satisfied contacts will still show up as black squares in the Contact Map, and as green bands in your protein, but the bonus is calculated directly in your score (it contributes to the "Backbone" subscore). We've been working hard to get this into Foldit before the first CASP contact targets, so try out this puzzle and let us know how it feels! Players can load in solutions from Puzzle 885.
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Comments

Joined: 07/21/2013
Groups: Beta Folders
Players can load in solutions from puzzle 885

Could someone give a step by step explanation of how to load in a solution from one puzzle to another puzzle?

bkoep's picture
User offline. Last seen 1 day 8 hours ago. Offline
Joined: 11/15/2012
Groups: Foldit Staff
Instructions for sharing solutions across puzzles

In Menu->Open/Share Solutions, you should see in Local Solutions all saved solutions from the current puzzle and from other share-enabled puzzles.

If you didn't save any solutions from the previous puzzle, you can easily go back and save your final solution from that puzzle. In the Puzzle Menu, you can find the old puzzle by typing the puzzle number in the search bar. Remember to check the box beside "Show expired puzzles" beneath the search bar.

In the old puzzle, you can do any work you like and save solutions as you normally would, using Menu->Save Solution. When you return to the current puzzle, those solutions should be visible in Menu->Open/Share Solutions.

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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