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

Related tags

Deep Learning machine-learning deep-learning chemistry ddi knowledge-graph drug-repurposing drug drug-design relational-learning gcn drug-drug-interaction drug-target-interactions gnn graph-neural-network drug-combination polypharmacy decagon drug-synergy synergy-prediction deep-chemistry
Overview

Polypharmacy - DDI - Synergy Survey

Awesome PRs Welcome Maturity level-0

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}
}

Contents

  1. High Level Models
  2. Low Level Models
  3. Hierarchical Models
  4. Datasets
  5. Related Survey Papers

License

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Comments
  • ✨ Add

    ✨ 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
AstraZeneca
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