Skip to main content

A Python CLI program to run [CASTpFold](https://cfold.bme.uic.edu/castpfold/) code from the command line

Project description

CASTpFoldpy

Pytest image image image DOI

A Python script to run CASTpFold code from the command line.

About

CASTpFold (expanded as Computer Atlas of Surface Topography of the universe of protein Folds) is an online tool used for finding surface pockets and internal cavities in proteins which are possibly active sites for ligand binding.

Please note that the CASTpFold analysis is done in the webserver provided by bme.uic.edu and this script is intended to run only from CLI, instead of accessing the website.

The script will take few seconds to run. An initial time delay of 10 seconds is added to avoid sending frequent requests to the website.

The maximum file size to upload is 2 MB.

Installation

Install castpfoldpy from PyPi using the command

pip install castpfoldpy

Instructions to run

  • For help text, run :

    castpfoldpy -h

Operation modes

This script allows to submit, download results separately as well as altogether using different modes.

  • Submit only: uploads a PDB and prints the job id; no ZIP download and no pocket computation is performed in this mode.
  • Download only: downloads a result ZIP using an existing job id; no submission is performed.
  • Submit and download: uploads a PDB and then downloads the result ZIP.

Arguments

  • -p, --pdb: Protein file path in PDB format. Required for --submit-only or --submit-download.
  • -j, --jobid: CASTpFold job ID to download (required for --download-only).
  • -d, --directory: Directory to save the CASTpFold ZIP and extracted files.
  • -r, --radius: Probe radius (Å) between 0.0 and 5.0 (default: 1.4).
  • -pc, --pocket: If set, compute pocket coordinates and write CSV/TXT file.
  • -w, --wait: Initial wait time (seconds) before the first download attempt (default: 20).
  • -ew, --extra-wait: Extra wait time (seconds) before retrying when ZIP is not yet ready (default: 30).
  • -t, --retries: Number of extra download retries after extra-wait period (default: 1).
  • --email: Optional email passed to server. If provided, CASTpFold will send the download link to the email address. Default is "N/A".

Examples

  1. Download Only (-do, --download-only):

Download the results if the job ID is available. Requires --job-id argument.

castpfoldpy --download-only -j <JOB_ID> -d /path/to/output
  1. Submit Only (-so, --submit-only):

Uploads the PDB and prints the job ID. Results won't be downloaded. Requires --pdb argument.

castpfoldpy --submit-only -p path/to/protein.pdb
  1. Submit and Download (-sd, --submit-download): Uploads the PDB and then downloads the results. Requires --pdb argument.
castpfoldpy --submit-download -p path/to/protein.pdb -d /path/to/output --pocket
  • If the code run successfully, output files will be generated in the output folder provided.
  • Output consists of:
    • Area and volume information.
    • Image of protein structure
    • Active sites and their information.
    • Protein sequence.

Citations

Appreciate your citations if you are using this tool for research purpose. Please cite the original CASTpFold paper along with this software.

Plain Text format

Athul R T. CASTpFoldpy: Commandline tool to access CASTpFold server. Version 3.0, 2025. Repository: https://github.com/athulvis/castp-Script. DOI: 10.5281/zenodo.17292401

Ye, B., Tian, W., Wang, B., and Liang, J. (2024). CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds. Nucleic Acids Research, 52(W1), W194–W199. https://doi.org/10.1093/nar/gkae415.

BIBTEX format

@software{CASTpFoldpy_zenodo_17292401,
  title        = {CASTpFoldpy : Commandline tool to access CASTpFold server},
  author       = {R T, Athul},
  year         = {2025},
  organization = {Sahya Digital Conservation Foundation},
  url          = {https://github.com/athulvis/castp-Script},
  doi          = {10.5281/zenodo.17292401},
  version      = {3.0},
  note         = {If you use this software, please cite it using the metadata from this file.},
}

@article{Ye2024CASTpFold,
author  = {Ye, Bowei and Tian, Wei and Wang, Boshen and Liang, Jie},
title   = {CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds},
journal = {Nucleic Acids Research},
volume  = {52},
number  = {W1},
pages   = {W194--W199},
year    = {2024},
doi     = {10.1093/nar/gkae415},
url     = {https://doi.org/10.1093/nar/gkae415}
}

References

  • Ye, B., Tian, W., Wang, B., & Liang, J. (2024). CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds. Nucleic Acids Research, 52(W1), W194–W199. https://doi.org/10.1093/nar/gkae415

  • Fermi, G., & Perutz, M. F. (1984). THE CRYSTAL STRUCTURE OF HUMAN DEOXYHAEMOGLOBIN AT 1.74 ANGSTROMS RESOLUTION [Dataset]. In Worldwide Protein Data Bank. Worldwide Protein Data Bank. https://doi.org/10.2210/pdb4hhb/pdb

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

castpfoldpy-0.1.2.tar.gz (21.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

castpfoldpy-0.1.2-py3-none-any.whl (21.0 kB view details)

Uploaded Python 3

File details

Details for the file castpfoldpy-0.1.2.tar.gz.

File metadata

  • Download URL: castpfoldpy-0.1.2.tar.gz
  • Upload date:
  • Size: 21.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.0

File hashes

Hashes for castpfoldpy-0.1.2.tar.gz
Algorithm Hash digest
SHA256 e5b7d32c7aa3e7b2229039a85866754ec396610d1795c356425597f584f30c96
MD5 e04ba2dfa5e44a52a95781057b513af5
BLAKE2b-256 c81b40635d72ab9058458a4831680bd706dd860fa02b611422d247dc70e3a51f

See more details on using hashes here.

File details

Details for the file castpfoldpy-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for castpfoldpy-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7edf67ac63d27431220beb4e1e5ac107d38ef7390f6f837790f70dc1b5848dac
MD5 50cc893d8ddfeccd4fe1d433921b7a55
BLAKE2b-256 cf15e9da13df2c9aaade7f303536f3512c72e2d4b31b31371f16243261b0af45

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page