Skip to main content

📚 My PubMed Package

A Python CLI & library to search PubMed, filter pharmaceutical/biotech papers, and export results to CSV.


🚀 Features

✅ Search PubMed with a query (full syntax supported).
✅ Fetch research papers and extract metadata.
✅ Identify pharmaceutical/biotech-affiliated authors using heuristics.
✅ Save results to CSV or print them in the terminal.
✅ Command-line interface (CLI) for easy execution.
✅ Python module for programmatic use.
✅ Lightweight & easy to install (only depends on requests).


🛠 Installation

Install from PyPI

You can install the package directly from PyPI using:

pip install my-pubmed-package

This installs both the Python library and the CLI tool (get-papers-list).


🎮 CLI Usage

After installation, you can run the CLI tool:

get-papers-list "machine learning in drug discovery" -d -f results.csv

Command Options

Option Description
query (Required) The PubMed search query. Full syntax supported.
-d, --debug Enable verbose debug logs.
-f <filename>, --file <filename> Save output to CSV. If omitted, prints results to the console.
-h, --help Display help message.

Example:

get-papers-list "cancer immunotherapy" -d -f papers.csv

✅ Fetches 50 papers
✅ Filters those with pharma/biotech affiliations
✅ Saves the output in papers.csv


📄 Example Output

CSV File (results.csv) Example:

PubmedID,Title,Publication Date,Non-academic Author(s),Company Affiliation(s),Corresponding Author Email
39941149,"Discovery of TRPV4-Targeting Small Molecules",2025-Feb-06,"Yu Wang","State Key Laboratory of Pathogen and Biosecurity","coen.vanhasselt@lacdr.leidenuniv.nl"
39935140,"Disorganization of Small-World Functional Networks",2025-Feb,"","Department of Radiology, Tongde Hospital of Zhejiang Province",""
39930345,"C-H Aminoalkylation of 5-Membered Heterocycles",2025-Feb-11,"Cyndi Qixin He; Marion H Emmert","Process Research and Development, Merck & Co., Inc.","parthapatrim.roy@gcu.ac.in"

Terminal Output Example (if no -f is provided):

--- Pharma/Biotech Papers ---
PubmedID: 39941149
Title: Discovery of TRPV4-Targeting Small Molecules
Publication Date: 2025-Feb-06
Non-academic Author(s): Yu Wang
Company Affiliation(s): State Key Laboratory of Pathogen and Biosecurity
Corresponding Author Email: coen.vanhasselt@lacdr.leidenuniv.nl
--------------------------------------------------

🖥 Programmatic Usage

You can also use my-pubmed-package as a Python module:

from my_pubmed_package.pubmed_module import search_pubmed_ids, fetch_pubmed_details_bulk

# Search PubMed for PMIDs
pmids = search_pubmed_ids("heart attack therapy", retmax=10, verbose=True)

# Fetch metadata
articles = fetch_pubmed_details_bulk(pmids, verbose=True)

# Print first result
print(articles[0])

🔄 Updating the Package

To update to the latest version:

pip install --upgrade my-pubmed-package

🛠 Troubleshooting

1️⃣ get-papers-list: command not found

If the CLI is not recognized, try running it with:

poetry run get-papers-list "cancer immunotherapy" -d -f results.csv

OR:

python -m my_pubmed_package.cli "cancer immunotherapy" -d -f results.csv

2️⃣ No PMIDs found

Try using broader search queries or visit PubMed to refine.


📜 License

This project is licensed under the MIT License.


🎉 Thank You!

If you find this package useful, star it on GitHub and share it with others! 🚀

Metadata

Release files for my-pubmed-package 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for my-pubmed-package 0.1.2
File Size Uploaded Provenance
my_pubmed_package-0.1.2.tar.gz 6.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for my-pubmed-package 0.1.2
File Interpreter ABI Platform
my_pubmed_package-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 13.7 kB

Release files / my_pubmed_package-0.1.2.tar.gz

Download URL my_pubmed_package-0.1.2.tar.gz
Size 6.1 kB
Tags Source
SHA-256 checksum
How to use checksums
47f459c6359a4c1f24826a802e26e27e245bdc830ef65cfc4bf6fbf8b270beb6
BLAKE2b-256 checksum
How to use checksums
f9a83223176a7595b8d06ecab3600e69f27f48c462274a7cbf3ae247f4f6f62a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.0.1 CPython/3.11.8 Darwin/23.5.0

Release files / my_pubmed_package-0.1.2-py3-none-any.whl

Download URL my_pubmed_package-0.1.2-py3-none-any.whl
Size 7.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
eccfbe469e5794519cd33271cea887b9caa617607bdf258614a44277650773e6
BLAKE2b-256 checksum
How to use checksums
1b80981cbbe7f1da337a542dd689b61e46f65331837b2dc5848829d8577a9560
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.0.1 CPython/3.11.8 Darwin/23.5.0

Security for my-pubmed-package 0.1.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page