Remove decimals on negative scores

Case number:845833-992807
Topic:Game: Display
Opened by:Timo van der Laan
Opened on:Thursday, May 31, 2012 - 20:24
Last modified:Sunday, June 10, 2012 - 02:03

When closing cutpoints it is annoying not to be able to see how far negative the score is.
If decimals are removed on negative scores, the score can have more meaning.

(Thu, 05/31/2012 - 20:24  |  4 comments)

Joined: 04/15/2012
Groups: Beta Folders

I think it would be ok, scince when you are in the negitives, it dosen't matter as much.

Joined: 12/06/2008
Groups: Contenders

To view how "far negative" a score is, go to the toolbar at the bottom of the game window. Click on "General Options". A window will pop up. Make sure the choice "Show advanced GUI" has an X next to it.

This will change the display of the score from integers ranged zero ---> infinity to decimal numbers -999999.999 ---> infinity, in steps of 0.001.

After closing cutpoints, the score is often -999999.999. Using the Freeze tool, section off the two segments where the cut was, plus one segment on either side, and then local wiggle the four segments. You should soon see the score for the protein increase. Once the score has stabilized, unfreeze and global wiggle the protein, adjusting the Behavior slider accordingly.

tamirh's picture
User offline. Last seen 8 years 33 weeks ago. Offline
Joined: 05/11/2012
Status: Open » Open

I will look into making the negative cut scores more intuitive

spmm's picture
User offline. Last seen 19 weeks 2 days ago. Offline
Joined: 08/05/2010
Groups: Void Crushers

I agree with timo - before you close the cut points it is very, very, very, useful to see what arrangements are working well before closing the cut points - the score (in advanced and selection) just shows 999etc.9etc regardless, ie your score does not appear to change.

Reset best in this state changes after making a few moves, and scripts will output scores to the Recipe output window before you close cut points.


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