AstraZeneca/awesome-drug-pair-scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
This project helps researchers and scientists understand and evaluate different methods for predicting how drug pairs interact, which is crucial for identifying potential side effects or beneficial synergies. It provides a structured collection of research papers and models related to drug pair scoring. The target users are computational biologists, pharmacologists, and drug discovery researchers.
No commits in the last 6 months.
Use this if you need to research existing deep learning approaches for predicting drug-drug interactions or drug synergy, and want to explore various model architectures and datasets.
Not ideal if you are looking for a ready-to-use software tool or API to perform drug pair scoring directly, as this is a curated list of research readings.
Stars
98
Forks
14
Language
—
License
Apache-2.0
Category
Last pushed
Aug 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AstraZeneca/awesome-drug-pair-scoring"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ersilia-os/ersilia
The Ersilia Model Hub, a repository of AI/ML models for infectious and neglected disease research.
NVIDIA/bionemo-framework
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
PNNL-CompBio/coderdata
Dataset package for facile training and testing of machine learning/AI algorithms that predict...
RyanWangZf/PyTrial
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
CDDLeiden/DrugEx
De Novo Drug Design with RNNs and Transformers