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867: De-novo Freestyle 37: Low Power
Status: Closed

Summary

Name: 867: De-novo Freestyle 37: Low Power
Status: Closed
Created: 03/31/2014
Points: 100
Expired: 04/07/2014 - 23:00
Difficulty: Intermediate
Description: In this de-novo freestyle puzzle, the "High Wiggle Power" option has been disabled. After this puzzle expires, the puzzle may be reposted for a brief period with the High Wiggle Power option enabled, and you will be able to load in solutions from this puzzle. The results from these puzzles will help us determine how useful the wiggle power options may be for structure prediction in Foldit. The secondary structure predictions are provided on the starting model, with more details posted in the puzzle comments.
Categories: Overall, Prediction

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Comments

bkoep's picture
User offline. Last seen 3 days 15 hours ago. Offline
Joined: 11/15/2012
Groups: None
Here are the secondary structure predictions!

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.

The above predictions are already on the starting model (based on the horizontal lines in the above figure).

________________

If you are a new Foldit player, please make sure you have completed all these tutorials before trying this puzzle:
- lonely sheets,
- lock and lower,
- rebuild,
- structure and rebuild,
- control over clashing.

Joined: 08/09/2010
high power enabled

When you start Foldit the high wiggle power is enabled, and you can enable it. The option disappears, but Foldit remains running with the high mode on.
Sometimes in Windows, always in Linux, only when you start the client.

Joined: 08/09/2010
always on windows too

The bug is always on Windows too
I have tested it with 864 and 867 (my current score is not valid, it's with high enabled)

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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, RosettaCommons