Obtain Novel Drug Approvals
Project description
Drug NME - Get New Molecular Entities From the FDA
What is this?
Drug approval data from the U.S. Food and Drug Administration (FDA) is a valuable resource for researchers, pharmaceutical professionals, and enthusiasts. Keeping track can give insight into trends from the department or what m ay be in the next in the drug pipeline.
This project, Drug NME, seeks to collect tools to allow users to quickly obtain this information and generate informative charts. Much of the code can be demoed here.
More information on the project and the hurdles I had on making the project will be forthcoming.
Tools
Drug NME obtains information from two methods - Web Scraping the FDA CDER website for New Drug Approvals or utilizing API from two sources - the OpenFDA or the Guide To Pharmacology.
Installation
The drug_nme can be installed as follows:
pip install drug_nme
and can be updated using:
pip install drug_nme -U
Special Thanks
This repository was inspired from a blog post by Phyo Phyo Kyaw Zin, PhD.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file drug_nme-0.1.1.tar.gz
.
File metadata
- Download URL: drug_nme-0.1.1.tar.gz
- Upload date:
- Size: 12.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.5.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31dc2aee33580306143235075e053762bc00d3a39ff1dbb188f05366ca00b0fc |
|
MD5 | 8034f07d991082c18999b7bb4a0c0ce1 |
|
BLAKE2b-256 | d171c0ab85c342b00c27044e8f4a2c1d15d6ce02ade83f1ca0e946c43fe0bca9 |
File details
Details for the file drug_nme-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: drug_nme-0.1.1-py3-none-any.whl
- Upload date:
- Size: 12.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.5.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5f48e201f9623a08d1dfc9e79261e25b5a1ed1f3853ef87ca288c9a3bba1a51 |
|
MD5 | f7ba3e3cfe8759fb2beb4e0cf8946ed2 |
|
BLAKE2b-256 | 4ab423c10a440489af559a0c75ee9cdaf2c4cc16b3f9402807886da96f0f4d5a |