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Recipe: Rav Compress 2.2.1 for Symmetry -- Brow42
Created by brow42 83 2324
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Name: Rav Compress 2.2.1 for Symmetry -- Brow42
ID: 41615
Created on: Sun, 05/13/2012 - 09:03
Updated on: Wed, 04/03/2013 - 18:44

Rav3n_pl Comp 2.2 modified to use band endpoints as compression targets. Could be BiS or symmetry segments! Now disables filters.

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brow42's picture
User offline. Last seen 1 year 1 week ago. Offline
Joined: 09/19/2011
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Compression for Symmetry is back!

Once upon a time, you could run compression scripts on symmetry puzzles, which was cool, but other scripts would crash, which was not. The fix was to make symmetry segments invisible to scripts. So now we had to move things by hand with the move tool, which I'm not very good at. This is a hack, but it works!

Compress for symmetry will band segments to other segments OR other bands. The endpoints (not the start points) of any bands that you have drawn before you start the script, will be used for random compression bands just like other segments. These can be bands that you drew to symmetry segments, or to points in space that you'd like to be part of the compression. If the endpoint is attached to a segment, then the compression band will also be attached to the segment, even if it is a mirror segment!

It can be a lot of work to make all those bands. You don't have to band every symmetry segment (in fact, I advise against it, see below). However, you only have to do it once. The bands will be automatically disabled, and never deleted by the script. All the new compression bands WILL be deleted, even if you cancel the script!

Band endpoints don't quite behave the same as segments (yet): They ignore minimum distance, segment skipping, and all structure checks for structure-mode compression. Because segment-to-segment bands still have to pass all these checks, you may actually get many more segment-to-band than segment-to-segment!

If you don't make any bands, a dialog will pop up to remind you. :)

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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