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| The community-run support site for the [http://pymol.org PyMOL] molecular viewer.
| The community-run support site for the [http://pymol.org PyMOL] molecular viewer.
|- style="text-align:center; font-weight:normal; color: #000000; font-size: 120%; font-family: sans-serif;"
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| To request a new account, email SBGrid at: accounts (@) sbgrid dot org
| If you want to contribute new content to this wiki, request an account by emailing accounts (@) sbgrid dot org from your '''institutional''' email address.
|- style="text-align:center; font-weight:bold; color: #000000; font-size: 120%; font-family: sans-serif;"
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{| class="jtable" style="float: left; width: 90%;"
{| class="jtable" style="float: left; width: 90%;"
|+ style="font-size: 1.4em; font-weight: bold; text-align:left; border-bottom: 2px solid #6678b1;" | News & Updates
|+ style="font-size: 1.4em; font-weight: bold; text-align:left; border-bottom: 2px solid #6678b1;" | News & Updates
|-
! New Setup
| [https://github.com/kullik01/pymol-open-source-windows-setup/releases/tag/v3.1.0 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 [https://github.com/sokrypton/ColabFold ColabFold] to enable the prediction and analysis of 3D protein structures for the scientific end-user. [https://github.com/urban233/PySSA/releases/tag/v1.0.1 v1.0 has been released] on July 10, 2024.
|-
! Official Release
| [https://pymol.org PyMOL v3.0 has been released] on March 12, 2024.
|-
|-
! New Plugin
! New Plugin
| [[CavitOmiX|CavitOmiX]] calculate [https://innophore.com Catalophore™ Cavities], predict protein structures with [https://www.nvidia.com/en-us/gpu-cloud/bionemo OpenFold by NVIDEA-BioNeMo], [https://ai.facebook.com/blog/protein-folding-esmfold-metagenomics/ ESMFold] and retrieve [https://www.deepmind.com/research/highlighted-research/alphafold Alphafold] models
| [[CavitOmiX|CavitOmiX]] calculate [https://innophore.com Catalophore™ cavities], predict protein structures with [https://www.nvidia.com/en-us/gpu-cloud/bionemo OpenFold by NVIDIA-BioNeMo], [https://ai.facebook.com/blog/protein-folding-esmfold-metagenomics/ ESMFold] and retrieve [https://www.deepmind.com/research/highlighted-research/alphafold Alphafold] models
|-
|-
! Official Release
! Official Release

Latest revision as of 15:10, 27 April 2026

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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...
get_area calculates the surface area in square Angstroms of the selection given. Note that the accessibility is assessed in the context of the object(s) that the selection is part of. So, to get the surface areas of e.g. a component of a complex, you should make a new object containing a copy of just that component and calculate its area.

The "get_area selection" command will return the effective surface area of the dots that you would see from "show dots, selection". This is a discrete approximation -- not an exact calculation.

Attention: Atoms with the "ignore" flag may lead to unexpected results. Clear the "ignore" flag first or exclude those atoms from the calculation. Fixed in PyMOL 2.5, ignored atoms are now excluded. Previously, their entire sphere surface was added to the surface area.

Usage

get_area [ selection [, state [, load_b ]]]

== Arguments ..→

A Random PyMOL-generated Cover. See Covers.