fantastic job!!
Thanks a lot.
Albert
On 01/16/2017 10:16 PM, Sampson, Jared M. wrote:
Dear PyMOL Users,
I am pleased to introduce a new plugin called PyMOLProbity
<https://github.com/jaredsampson/pymolprobity> which allows a PyMOL
user to visualize MolProbity-style structural validation data directly
in a PyMOL session. The programs Reduce, Flipkin, and Probe from the
well-known MolProbity <http://molprobity.biochem.duke.edu/> software
package allow generation of data in "kinemage" (kinetic image) format
to illustrate atom-atom contacts (dots) and clashes (spikes), and the
new plugin now makes it possible to utilize the same programs to
produce similar results in PyMOL scenes.
I have put together a page on the PyMOL Wiki
<https://pymolwiki.org/index.php/PyMOLProbity> with a brief summary of
its features and basic how-to information. (Please note that the
MolProbity executables are only available for Linux/MacOS, so
PyMOLProbity isn't yet useful on Windows.)
My work on this plugin was supported by the Warren L. DeLano Memorial
PyMOL Open-Source Fellowship. I would like once again to thank
Schrödinger for the opportunity to work on this project, and in
particular would like to thank the PyMOL developers for their support
and feedback along the way.
I hope many of you will find it useful. If you come across any bugs
or have any feature requests or other suggestions, please feel free to
email me directly or create a new issue
<https://github.com/jaredsampson/pymolprobity/issues> on Github.
Happy PyMOLing!
Cheers,
Jared
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