alec-glisman/OpenADMET-ExpansionRx-Blind-Challenge
This repository contains code and documentation for participating in the OpenADMET + ExpansionRx Blind Challenge. The goal of this challenge is to develop machine learning models to predict various ADMET properties of small molecules using the provided dataset.
Stars
3
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alec-glisman/OpenADMET-ExpansionRx-Blind-Challenge"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
CDDLeiden/QSPRpred
A tool for creating Quantitative Structure Property/Activity Relationship (QSPR/QSAR) models.
OpenADMET/openadmet-models
Machine learning workflows for the OpenADMET project
ml-jku/clamp
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to...
ncats/ncats-adme
The source code for ADME@NCATS application that hosts prediction models for ADME properties....
ersilia-os/zaira-chem
Automated QSAR based on multiple small molecule descriptors