Difference between revisions of "Main Page"

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Revision as of 05:12, 8 May 2018

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Welcome to the PyMOL Wiki!
The community-run support site for the PyMOL molecular viewer.
To request a new account, email SBGrid at: accounts (@) sbgrid dot org
Quick Links
Tutorials Table of Contents Commands
Script Library Plugins FAQ
Gallery | Covers PyMOL Cheat Sheet (PDF) Getting Help
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...

Xfit

Included in psico
This command or function is available from psico, which is a PyMOL extension.

Module psico.fitting

xfit does a weighted superposition of two structures. The weights are estimated with maximum likelihood.

This typically gives better looking superpositions than the align command, which does simple outlier rejection (equivalent to weight=0 on the rejected atoms, and weight=1 on the included atoms).

Installation

xfit is available from the psico package and requires CSB.

All dependencies are available from Anaconda Cloud:

conda install -c schrodinger pymol
conda install -c schrodinger pymol-psico
conda install -c speleo3 csb

Usage

xfit mobile, target [, mobile_state [, target_state [, load_b
    [, cycles [, match [, guide [, seed ]]]]]]]

Arguments

  • mobile = string: atom selection
  • target = string: atom selection
  • mobile_state = int: object state of mobile selection {default: current}
  • target_state = int: object state of target selection {default: current}
..→
A Random PyMOL-generated Cover. See Covers.