Difference between revisions of "Main Page"

Revision as of 16:36, 13 March 2018

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Welcome to the PyMOL Wiki!
The community-run support site for the PyMOL molecular viewer.
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News & Updates
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.

@@ Line 30: / Line 30: @@
 |-
 ! Official Release
-| [http://pymol.org PyMOL v1.8.6 has been released] on March 9, 2017.
+| [https://pymol.org PyMOL v2.1 has been released] on March 13, 2018.
 |-
-! Official Release
+! Selection keywords
-| [http://pymol.org PyMOL v1.8.4 has been released] on October 4, 2016.
+| New [[Selection Algebra|polymer.protein and polymer.nucleic]] selection keywords. Thanks everyone who participated in the [https://goo.gl/forms/r0Ck03VTytZQxN4A2 poll]!
+|-
+! Plugin Update
+| [[MOLE 2.0: advanced approach for analysis of biomacromolecular channels|MOLE 2.5]] is an updated version of channel analysis software in PyMOL
 |-
 ! New Script
@@ Line 40: / Line 43: @@
 ! New Plugin
 | [[Lisica|LiSiCA]] is a new plugin for 2D and 3D ligand based virtual screening using a fast maximum clique algorithm.
-|-
-! Official Release
-| [http://pymol.org 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
-| [http://pymol.org PyMOL, AxPyMOL, and JyMOL v1.7.6 have all been released] on May 4, 2015.
 |-
 ! New Plugin