Main Page

hosted by

Welcome to the PyMOL Wiki!

The community-run support site for the PyMOL molecular viewer.

To request a new account, email SBGrid at: accounts (@) sbgrid dot org

Quick Links

Tutorials	Table of Contents	Commands
Script Library	Plugins	FAQ
Gallery | Covers	PyMOL Cheat Sheet (PDF)	Getting Help

News & Updates Selection keywords New polymer.protein and polymer.nucleic selection keywords. Thanks everyone who participated in the poll! 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.

Did you know... Cheshift Type PyMOL Plugin Download https://github.com/aloctavodia/cheshift/archive/v3.6.zip Author(s) Osvaldo Martin License GPL Description Result of a CheShift analysis. Colors indicate the difference between predicted and observed 13Cα and/or 13Cβchemical shifts values averaged over all uploaded conformers. Green, yellow and red colors represent small, medium and large differences, respectively. White is used if either the prediction failed or the observed value is missing. Blue is used to highlight residues for which the agreement between observed and predicted 13Cα and 13Cβchemical shifts can be improved, i.e., if the (χ1 /χ2 ) side-chain CheShift (pronounced /tʃeʃɪft/) is a software for prediction of 13Cα and 13Cβ chemical shifts and validation of proteins structures. It is based on the idea that the ..→

A Random PyMOL-generated Cover. See Covers.