Jump to content

Main Page

From PyMOL Wiki
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 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...

Good default? It has been suggested to change the default of this setting to off. If you agree or disagree, please leave a comment on the discussion page.

The normalize_ccp4_maps settings (default: on) controls whether or not PyMOL normalizes the data from a ccp4 map file upon loading. The data is shifted and scaled so that mean=0.0 and stdev=1.0.

Normalization is done on the raw data array, not across the unit cell. This means that if the raw data doesn't exactly cover an integral number of asymmetric units, the result will be different than for example when loading the same file into Coot, which normalizes across the cell.

Normalization should be turned off before loading, in cases like:

  • the map file has already been normalized, for example with CCP4’s mapmask program
  • you want to specify mesh contour levels in raw units (e/A^3) instead of rmsd (sigma). This is recommended if you want to make figures that match the display in Coot.

Usage

<source lang="python">

  1. load map and normalize data

set normalize_ccp4_maps, on load somemap.ccp4

  1. load map as-is (without normalization)

set normalize_ccp4_maps, off load ..→

A Random PyMOL-generated Cover. See Covers.