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! Official Release
! Official Release
| [http://pymol.org|PyMOL, AxPyMOL, and JyMO v1.7 have all been released] today, January 14, 2014.
| [http://pymol.org PyMOL, AxPyMOL, and JyMO v1.7 have all been released] today, January 14, 2014.
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! New Plugin
! New Plugin
| [[Bondpack]] is a a collection of PyMOL plugins for easy visualization of atomic bonds.
| [[Bondpack]] is a collection of PyMOL plugins for easy visualization of atomic bonds.
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! New Plugin
! New Plugin

Revision as of 14:59, 14 January 2014

Welcome to the PyMOL Wiki!
The community-run support site for the PyMOL molecular viewer.
New accounts: email jason (dot) vertrees (@) gmail dot com
Quick Links
Tutorials Table of Contents Commands
Script Library Plugins FAQ
Gallery | Covers PyMOL Cheat Sheet (PDF) GoogleSearch
News & Updates
Official Release PyMOL, AxPyMOL, and JyMO 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.