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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... 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.