News & Updates
| New Plugin
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ProBiS H2O is a new plugin for identification of conserved waters in protein structures.
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| Official Release
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PyMOL v2.1 has been released on March 13, 2018.
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| Selection keywords
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New polymer.protein and polymer.nucleic selection keywords. Thanks everyone who participated in the poll!
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| Plugin Update
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MOLE 2.5 is an updated version of channel analysis software in PyMOL
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| New Script
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dssr_block is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons
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| New Plugin
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LiSiCA is a new plugin for 2D and 3D ligand based virtual screening using a fast maximum clique algorithm.
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| New Plugin
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PyANM is a new plugin for easier Anisotropic Network Model (ANM) building and visualising in PyMOL.
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| New Plugin
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Bondpack is a collection of PyMOL plugins for easy visualization of atomic bonds.
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| New Plugin
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MOLE 2.0 is a new plugin for rapid analysis of biomacromolecular channels in PyMOL.
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| 3D using Geforce
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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.
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| Older News
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See Older News.
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Did you know...
DESCRIPTION
This is a toolkit for rapidly inspecting multiple maps and models. The right & left arrow keys navigate sequentially through the amino acid chain, but alternating between two structures (could be NCS-related chains or models solved in different space groups). Each view is rendered in a consistent orientation (the default is centered on alpha carbon, with nitrogen right, carbonyl left & beta carbon up). The view can be customized. It is necessary to edit the script to define the behavior for the problem at hand.
INSTALLATION
Three components are needed:
- A Python module, support.py, giving matrix algebra & Kabsch-style structure alignment (source code given below). This module must be in the current working directory, and PyMol started from the command line, e.g., on MacOSX:
/Applications/MacPyMol.app/Contents/MacOS/MacPyMOL
- Atomic coordinates must be loaded first, and if appropriate, maps and isomesh levels. An example .pml file is shown here, consisting of two structural models ..→
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 A Random PyMOL-generated Cover. See Covers.
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