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News & Updates Official Release PyMOL v1.8.2 has been released on April 20, 2016. New Script dssr_block is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons New Plugin LiSiCA is a new plugin for 2D and 3D ligand based virtual screening using a fast maximum clique algorithm. Official Release PyMOL v1.8.0 has been released on Nov 18, 2015. PyMOL Open-Source Fellowship Schrödinger is now accepting applications for the PyMOL Open-Source Fellowship program! Details on http://pymol.org/fellowship Official Release PyMOL, AxPyMOL, and JyMOL v1.7.6 have all been released on May 4, 2015. New Plugin PyANM is a new plugin for easier Anisotropic Network Model (ANM) building and visualising in PyMOL. New Plugin Bondpack is a collection of PyMOL plugins for easy visualization of atomic bonds. New Plugin MOLE 2.0 is a new plugin for rapid analysis of biomacromolecular channels in PyMOL. 3D using Geforce PyMOL can now be visualized in 3D using Nvidia GeForce video cards (series 400+) with 120Hz monitors and Nvidia 3D Vision, this was previously only possible with Quadro video cards. Older News See Older News.

Did you know... DivScore A quote from the page: The DivScore package is intended to be used with AMBER and DivCon for preprocessing biological structures (primarily proteins and small molecules) quick geometry optimization, charge calculation, creating job scripts and streamlining workflow within the PyMOL environment. This package was developed to aid my research and hence works within the confines of assumptions that were necessary for streamlining my workflow. However for those who have access to the AMBER and DivCon, it could potentially be useful since it combines the power of PyMOL with that of AMBER for molecular simulation and DivCon for Quantum Mechanics calculations on large biomolecular systems. An example of the capability of DivScore is that, it can perform a quick minimization of a ligand in the active site of a protein based on the AMBER force field and upload the resulting coordinates into PyMOL for visualization. More examples of things one could do will follow in the examples sections. Web link: ..→

A Random PyMOL-generated Cover. See Covers.