Difference between revisions of "Main Page"

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== PyMol Wiki Home ==
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__NOTOC__
You have reached the (new) home of the PyMolWiki, a user-driven web-oriented CMS.
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|+ style="font-size: 1.0em; font-weight: normal; color: #FFFFFF; text-align:right; background: #B22222; padding-top:0.5em; padding-bottom: 0.25em; padding-right: 0.60em; border-top: 2px solid #B22222; border-bottom: 1px solid #fff;" |hosted by [[File:SBGridlogo2.jpg|140 px|link=https://sbgrid.org/]]
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|}
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{| align="center" style="padding-bottom: 3em;"
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|+ style="font-size:210%; font-weight: bold; color:#000000; text-align:center; padding: 5px; margin-bottom: 4px;" | Welcome to the PyMOL Wiki!
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|- style="text-align:center; font-weight: normal; color: #000000; font-size: 120%; font-family: sans-serif;"
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| The community-run support site for the [http://pymol.org PyMOL] molecular viewer.
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|- style="text-align:center; font-weight:normal; color: #000000; font-size: 120%; font-family: sans-serif;"
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| To request a new account, email SBGrid at:  accounts (@) sbgrid dot org
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|- style="text-align:center; font-weight:bold; color: #000000; font-size: 120%; font-family: sans-serif;"
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|}
  
We (will) strive to provide
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{| align="center" width="45%" style="background: #FFFFFF; margin-bottom: 4em; border-bottom: 1px solid #AFB29E; border-left: 1px solid #AFB29E; border-right: 1px solid #AFB29E;"
* updates on PyMol
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|+ style="font-size: 1.4em; font-weight: bold; color: #FFFFFF; text-align:center; background: #000000; padding-top:0.5em; padding-bottom: 0.25em; border-top: 2px solid #000000; border-bottom: 1px solid #fff;" |Quick Links
* a stable user-oriented documentation base
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|-  
* a thorough treatment of the PyMol program
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| style="font-size: 1.1em; font-weight: normal; color #48A2B4; padding: 0.5em 1em 0.5em 3em;"|'''[[:Category:Tutorials|Tutorials]]''' || '''[[TOPTOC|Table of Contents]]''' || '''[[:Category:Commands|Commands]]'''
* feature rich scripts for general PyMol use
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|-
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| style="font-size: 1.1em; font-weight: normal; color #48A2B4; padding: 0.5em 1em 0.5em 3em;"|'''[[:Category:Script_Library|Script Library]]''' || '''[[:Category:Plugins|Plugins]]''' || '''[[:Category:FAQ|FAQ]]'''
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|-
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| style="font-size: 1.1em; font-weight: normal; color #48A2B4; padding: 0.5em 1em 0.5em 3em;"|'''[[Gallery]]''' | '''[[Covers]]'''
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||'''[[CheatSheet|PyMOL Cheat Sheet]]''' (''[[Media:PymolRef.pdf|PDF]]'')
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||'''[[PyMOL_mailing_list|Getting Help]]'''
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|}
  
== Links of Interest ==
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{| width="100%"
* [[TOPTOC|Top Level Table of Contents]]
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| style="vertical-align: top; width: 40%" |
* Updated! [[PyMolWiki:Community_Portal| How to get involved!]] -- read me if you want to add something
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{| class="jtable" style="float: left; width: 90%;"
* [[:Category:Scripting Script Library| Script Library]] -- add one! (rTools info!)
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|+ style="font-size: 1.4em; font-weight: bold; text-align:left; border-bottom: 2px solid #6678b1;" | News & Updates
* [[:Category:Commands|PyMol Commands]] (>130 documented!)
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|-
* [[:Special:Allpages| All Pages]]
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! Official Release
* [[:Category:Plugins|Plugins]]
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| [https://pymol.org PyMOL v3.0 has been released] on March 12, 2024.
* [[:Special:Categories| See All Categories]]
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|-
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! New Plugin
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| [[CavitOmiX|CavitOmiX]] calculate [https://innophore.com Catalophore™ cavities], predict protein structures with [https://www.nvidia.com/en-us/gpu-cloud/bionemo OpenFold by NVIDIA-BioNeMo], [https://ai.facebook.com/blog/protein-folding-esmfold-metagenomics/ ESMFold] and retrieve [https://www.deepmind.com/research/highlighted-research/alphafold Alphafold] models
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|-
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! Official Release
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| [https://pymol.org PyMOL v2.5 has been released] on May 10, 2021.
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|-
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! Python 3
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| New [[2to3|Python 3 compatibility guide]] for scripts and plugins
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|-
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! POSF
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| [https://pymol.org/fellowship New PyMOL fellowship announced for 2022-2023]
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|-
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! Tutorial
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| [[Plugins Tutorial]] updated for PyQt5
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|-
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! New Plugin
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| [[PICv|PICv]] is a new plugin for clustering protein-protein interactions and visualization with available data from PDBe
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|-
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! Selection keywords
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| New [[Selection Algebra|polymer.protein and polymer.nucleic]] selection keywords. Thanks everyone who participated in the [https://goo.gl/forms/r0Ck03VTytZQxN4A2 poll]!
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|-
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! Plugin Update
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| [[MOLE 2.0: advanced approach for analysis of biomacromolecular channels|MOLE 2.5]] is an updated version of channel analysis software in PyMOL
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|-
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! New Script
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| [[dssr_block]] is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons
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|-
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! Older News
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| See [[Older_News|Older News]].
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|}
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{| class="jtable" style="float: right; width: 90%"
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|+ style="font-size: 1.4em; font-weight: bold; text-align:left; border-bottom: 2px solid #6678b1;" |Did you know...
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|-
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|<div class="didyouknow" >
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Latest revision as of 12:54, 12 March 2024

hosted by SBGridlogo2.jpg
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
Official Release PyMOL v3.0 has been released on March 12, 2024.
New Plugin CavitOmiX calculate Catalophore™ cavities, predict protein structures with OpenFold by NVIDIA-BioNeMo, ESMFold and retrieve Alphafold models
Official Release PyMOL v2.5 has been released on May 10, 2021.
Python 3 New Python 3 compatibility guide for scripts and plugins
POSF New PyMOL fellowship announced for 2022-2023
Tutorial Plugins Tutorial updated for PyQt5
New Plugin PICv is a new plugin for clustering protein-protein interactions and visualization with available data from PDBe
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
Older News See Older News.
Did you know...

Cyspka

Type Python Script
Download cyspka.py
Author(s) Troels E. Linnet
License BSD
This code has been put under version control in the project Pymol-script-repo

Introduction

This script is an experimental surface cysteine pKa predictor.
The script is solely based on the work by:

Predicting Reactivities of Protein Surface Cysteines as Part of a Strategy for Selective Multiple Labeling.
Maik H. Jacob, Dan Amir, Vladimir Ratner, Eugene Gussakowsky, and Elisha Haas.
Biochemistry. Vol 44, p. 13664-13672, doi:10.1021/bi051205t

Questions to the article should be send to Maik Jacob.

Cyspka.png

Overview

The authors Jacob et al. were able to describe a computational algorithm that could predict the reactivity of surface cysteines. The algorithm was based on reaction rates with Ellmans reagent, Riddles et al., on 26 single cysteine mutants of adenylate kinase. The authors could predict the reactivity of the cysteines ..→

A Random PyMOL-generated Cover. See Covers.