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News & Updates New Plugin ProBiS H2O is a new plugin for identification of conserved waters in protein structures. Official Release PyMOL v2.1 has been released on March 13, 2018. 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 New Plugin LiSiCA is a new plugin for 2D and 3D ligand based virtual screening using a fast maximum clique algorithm. 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... Normalize ccp4 maps 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"> load map and normalize data set normalize_ccp4_maps, on load somemap.ccp4 load map as-is (without normalization) set normalize_ccp4_maps, off load ..→

A Random PyMOL-generated Cover. See Covers.