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Type	PyMOL Plugin
Download	https://github.com/BIOS-IMASL/Azahar/archive/v0.8.8-beta.zip
Author(s)	Agustina Arroyuelo and Osvaldo Martin
License	MIT

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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...

Azahar

Description

Azahar (pronounced /ɑːsɑːˈɑːr/) is a plugin that extends the PyMOL's capabilities to visualize, analyze and model glycans and glycoconjugated molecules.

Installation

The plugin have been tested on Linux and Windows and should also works on Mac Os X. To install the plugin just download this zip file and install it using the plugin manager.

Azahar can be used without any dependencies (i.e. you don't need to install anything else) but if you have installed OpenBabel (and OpenBabel Python bindings) Azahar will use it to perform certain calculations like optimize the geometry of your newly created molecule. OpenBabel is also used during the Monte Carlo with Minimization routine.

If you ..→