Difference between revisions of "Main Page"

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(Added new plugin Cavitomix)
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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 NVIDEA-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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| [[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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! Official Release
 
! Official Release

Revision as of 07:08, 24 December 2022

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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 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...

Tiff2ccp4

= Overview =

This script will convert tiff stacks to CCP4 maps for reading in PyMOL.

See also the load_img_stack script for loading image stacks directly into PyMOL.

If someone knows how to determine the file's dimensions from the file itself (not the image size, but the physical dimension size) please let me know.

Note: requires Python 2.7 or later (for argparse).

Usage

#
# convert input.tiff to output.ccp4 which has cell dimensions
# x=40 A, y=80.5 A, Z=125.2 A
#
python tiff2ccp4.py input.tiff output.ccp4 -x 40 -y 80.5 -z 125.2

#
# print help
#
python tiff2ccp4.py -h

The Code

<source lang="python">

  2. tiff2ccp4.py -- convert a TIFF stack to a CCP4 map
  4. Author: Jason Vertrees
  5. Date : 2011-09-16
  7. Notes : To get help, type "python tiff2ccp4.py -h"

import struct import sys import string

  1. key = field_type
  2. value = # bytes for that field

field_types = ..→

A Random PyMOL-generated Cover. See Covers.


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