colabpymolpysnips
Library of PyMOL Python snippets for Google Colab.
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.3%) to scientific vocabulary
Keywords
Repository
Library of PyMOL Python snippets for Google Colab.
Basic Info
Statistics
- Stars: 6
- Watchers: 1
- Forks: 10
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
colabpymolpysnips:
Library of PyMOL Python snippets for running Incentive PyMOL in Google Colab notebooks
This notebook requires a PyMOL license file in your Google Drive.
version 0.3
For the notebook that uses the Open Source version of PyMOL, see.
Click on Colab badge to the right to open a notebook on Colab:
See the first cell in the notebook for the installation instructions.
The installPyMOL snippet will install PyMOL in one click of a button.
The installation process takes 3-10 minutes, so be patient.
A progress bar monitors the installation.
Pre-requisites: you need a Google Drive with some unused disk space. Google Drive access comes with each Gmail account.
Step 1: Click on the above Colab link
This action will open the snippet notebook on Colab. The top of the screen should look like the following:

Step 2: Copy the snippet notebook to Google Drive
Use the `File/Save copy in Drive' pulldown menu item. If you run some code cells, you may get a message like the following:

Ignore this warning. Click on run anyway.

Step 3: Paste the URL of the snippet notebook into the settings
Paste the URL into the line Custom snippet notebook URL:

Step 4: Open a new Colab notebook

Step 5: Search for the installPyMOL snippet

Step 6: Insert the installPyMOL snippet into the new notebook and run

This takes 5-10 minutes. Ignore this warning:

Step 7: Insert the testPyMOL snippet and run

The result should be the following image:

Step 8: Save the finished Colab notebook to Google Drive or download it to your computer.
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Update history
|Version | Changes | Date | |:-----------:|:------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------:| | Version 0.3 | Added badges, funding, and update table | 2024 May 8 |
Funding
- NIH: R01 CA242845, R01 AI088011
- NIH: P30 CA225520 (PI: R. Mannel); P20GM103640 and P30GM145423 (PI: A. West)
Owner
- Name: Blaine Mooers
- Login: MooersLab
- Kind: user
- Location: Oklahoma City, OK, USA
- Company: University of Oklahoma Health Sciences Center
- Website: https://basicsciences.ouhsc.edu/bmb/Faculty/bio_details/mooers-blaine-hm-phd-1
- Twitter: MooersBlaine
- Repositories: 22
- Profile: https://github.com/MooersLab
Associate Professor of Biochemistry and Molecular Biology. RNA and protein crystallographer. Develops tools to ease the use of PyMOL. Drinks French Roast.
Citation (Citation.md)
Insert in the main body of the paper a paraphrased version of the following:
We used the colabpymolpysnips library to support using PyMOL in Google Colab notebooks (https://github.com/MooersLab/elyrapymolpysnips).
Cite this conference paper:
```bibtex
@inproceedings{Mooers2021ModernizingComputingByStructuralBiologists,
year = {2021},
author = {Mooers, Blaine H. M.},
title = {Modernizing computing by structural bioloigsts with Jupyter and Colab},
booktitle = {Proc. of the 20th Python in Science Conference (SCIPY 2021)},
pages = {14-22},
organization = {SciPy.org},
url = {http://conference.scipy.org/proceedings/scipy2021/pdfs/blaine_mooers.pdf}
}
```
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Top Authors
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- SimengSun01 (1)