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Official Release PyMOL v2.5 has been released on May 10, 2021.
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New Plugin PICv is a new plugin for clustering protein-protein interactions and visualization with available data from PDBe
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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...

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">

  1. load map and normalize data

set normalize_ccp4_maps, on load somemap.ccp4

  1. load map as-is (without normalization)

set normalize_ccp4_maps, off load ..→

A Random PyMOL-generated Cover. See Covers.