Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Last update: Jan 05, 2023

Overview

Polypharmacy - DDI - Synergy Survey

The Survey Paper

This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction.

If you find the survey or this repository useful in your research, please consider citing our paper:

@inproceedings{poliddicombisurvey,
       title = {{A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction}},
       author = {Benedek Rozemberczki and Stephen Bonner and Andriy Nikolov and Michaël Ughetto and Sebastian Nilsson and Eliseo Papa},
       year = {2021}
}

License

Apache 2.0

Comments

✨ Add "Relational Gaifman Models" + dataset
Add "Efficient Learning of Relational Gaifman Models using Probabilistic Logic" and dataset links

It might make sense to refer to one of the papers with respect to "high-level" or "low-level" models (see related publications here: https://srlearn.github.io/relational-datasets/dataset_descriptions/drug_interactions/). For now, this pull request adds links to the 2019 PLP paper under "Datasets."
opened by hayesall 0

Releases(v_00002)

v_00002(Jan 3, 2022)
What's Changed

✨ Add "Relational Gaifman Models" + dataset by @hayesall in https://github.com/AstraZeneca/awesome-drug-pair-scoring/pull/1

New Contributors

@hayesall made their first contribution in https://github.com/AstraZeneca/awesome-drug-pair-scoring/pull/1

Full Changelog: https://github.com/AstraZeneca/awesome-drug-pair-scoring/compare/v_00001...v_00002
Source code(tar.gz)
Source code(zip)
v_00001(Nov 29, 2021)
The repository covers deep learning papers that solve these tasks:

Drug - Drug Interaction Prediction

Polypharmacy Side Effect Prediction

Drug Combination Synergy Scoring

Source code(tar.gz)
Source code(zip)

Owner

AstraZeneca

Data and AI: Unlocking new science insights

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