Main Page

hosted by

Welcome to the PyMOL Wiki!

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

If you want to contribute new content to this wiki, request an account by emailing accounts (@) sbgrid dot org from your institutional email address.

Quick Links

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

News & Updates New Setup PyMOL-open-source-windows-setup v3.1 has been released on January 20, 2025. More information under Windows Install. New Plugin PySSA aims to combine PyMOL and ColabFold to enable the prediction and analysis of 3D protein structures for the scientific end-user. v1.0 has been released on July 10, 2024. Official Release PyMOL v3.0 has been released on March 12, 2024. New Plugin CavitOmiX calculate Catalophore™ cavities, predict protein structures with OpenFold by NVIDIA-BioNeMo, ESMFold and retrieve Alphafold models Official Release PyMOL v2.5 has been released on May 10, 2021. Python 3 New Python 3 compatibility guide for scripts and plugins POSF New PyMOL fellowship announced for 2022-2023 Tutorial Plugins Tutorial updated for PyQt5 New Plugin PICv is a new plugin for clustering protein-protein interactions and visualization with available data from PDBe Selection keywords New polymer.protein and polymer.nucleic selection keywords. Thanks everyone who participated in the poll! Plugin Update MOLE 2.5 is an updated version of channel analysis software in PyMOL New Script dssr_block is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons Older News See Older News.

Did you know... Load img stack Type Python Script Download scripts/load_img_stack.py Author(s) Thomas Holder License BSD-2-Clause This code has been put under version control in the project Pymol-script-repo This script adds the load_img_stack command, which loads a set of images as a map object. The images can either be individual files, or contained in a multi-page TIFF file. Usage load_img_stack pattern [, name [, grid [, channel [, normalize [, extent ]]]]] Arguments pattern = str: image filename or pattern name = str: map object name to create grid = float: grid spacing in Angstrom {default: 1.0} channel = int: color channel for RGB images {default: 0} normalize = 0 or 1: normalize data {default: 1} extent = 3-float: (a,b,c) edge lengths in Angstrom, overwrites "grid" arguments if given {default: } Example load_img_stack img*.png, name=map, extent=(10.0, 10.0, 5.0) volume vol, map, rainbow See Also tiff2ccp4 volume

A Random PyMOL-generated Cover. See Covers.