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Revision as of 18:45, 18 December 2017 by Speleo3 (talk | contribs) (poll protein/nucleic)
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News & Updates
Poll New protein/nucleic selection keywords for PyMOL - Tell us what you think!
Official Release PyMOL v2.0 has been released on September 20, 2017.
Plugin Update MOLE 2.5 is an updated version of channel analysis software in PyMOL
Official Release PyMOL v1.8.6 has been released on March 9, 2017.
Official Release PyMOL v1.8.4 has been released on October 4, 2016.
New Script dssr_block is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons
New Plugin LiSiCA is a new plugin for 2D and 3D ligand based virtual screening using a fast maximum clique algorithm.
Official Release PyMOL v1.8.0 has been released on Nov 18, 2015.
PyMOL Open-Source Fellowship Schrödinger is now accepting applications for the PyMOL Open-Source Fellowship program! Details on http://pymol.org/fellowship
Official Release PyMOL, AxPyMOL, and JyMOL v1.7.6 have all been released on May 4, 2015.
New Plugin PyANM is a new plugin for easier Anisotropic Network Model (ANM) building and visualising in PyMOL.
New Plugin Bondpack is a collection of PyMOL plugins for easy visualization of atomic bonds.
New Plugin MOLE 2.0 is a new plugin for rapid analysis of biomacromolecular channels in PyMOL.
3D using Geforce PyMOL can now be visualized in 3D using Nvidia GeForce video cards (series 400+) with 120Hz monitors and Nvidia 3D Vision, this was previously only possible with Quadro video cards.
Older News See Older News.
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PyMOLProbity

Type PyMOL Plugin
Download https://github.com/jaredsampson/pymolprobity/raw/master/pymolprobity.tar.gz
Author(s) Jared Sampson
License MIT

Description

The PyMOLProbity GUI can be used to inspect and adjust clashes and flip orientations of flippable side chain groups.

PyMOLProbity is a plugin allows the user to produce MolProbity-style visualization of atomic interactions within a structure (e.g. H-bonds, van der Waals interactions and clashes) directly within a PyMOL session. The plugin runs local copies of several executable programs from the Richardson Lab at Duke University, authors of the MolProbity software, parses the output, and displays the results in the PyMOL viewport. There are both a graphical user interface (GUI) for general point-and-click use, and a command-line interface (CLI) ..→

A Random PyMOL-generated Cover. See Covers.