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Revision as of 09:57, 8 August 2014 by Speleo3 (talk | contribs) (1.7.2)
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Welcome to the PyMOL Wiki!
The community-run support site for the PyMOL molecular viewer.
New accounts: email jason (dot) vertrees (@) gmail dot com
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Script Library Plugins FAQ
Gallery | Covers PyMOL Cheat Sheet (PDF) GoogleSearch
News & Updates
Official Release PyMOL, AxPyMOL, and JyMOL v1.7.2 have all been released on August 4, 2014.
Official Release PyMOL, AxPyMOL, and JyMOL v1.7 have all been released today, January 14, 2014.
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.
New Plugin GROMACS_Plugin is a new plugin that ties together PyMOL and GROMACS.
New Software CMPyMOL is a software that interactively visualizes 2D contact maps of proteins in PyMOL.
New Script cgo_arrow draws an arrow between two picked atoms.
Tips & Tricks Instructions for generating movie PDFs using .mpg movies from PyMOL.
Older News See Older News.
Did you know...

Cluster mols

Cluster mols py pymol.png

cluster_mols is a PyMOL plugin that allows the user to quickly select compounds from a virtual screen to be purchased or synthesized.

It helps the user by automatically clustering input compounds based on their molecular fingerprints [1] and loading them into the PyMOL window. cluster_mols also highlights both good and bad polar interactions between the ligands and a user specified receptor. Additionally there are a number of keyboard controls for selecting and extracting compounds, as well as functionality for searching online to see if there are vendors for a selected compound.

Description

The basic work flow of cluster_mols.py can be broken up into three parts.

  1. Computing a similarity matrix from the input compounds
  2. Performing hierarchical clustering on the results from 1)
  3. Cutting the tree at a user-specified height and creating and sorting clusters

The results of 1 and 2 are saved to python pickle files so you do not have to recompute them ..→

A Random PyMOL-generated Cover. See Covers.