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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