Article

APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks

2021-07-04

Abstract excerpt

The majority of people over the age of 65 take two or more medications. While many individual drug side effects are known, polypharmacy side effects due to novel drug combinations poses great risk. Here, we present APRILE: an explainable artificial intelligence (XAI) framework that uses graph neural networks to explore the molecular mechanisms underlying polypharmacy side effects. Given a list of side effects and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 43b0a94b-0cad-5ae5-89a8-b6f1e2ba2cb2
DOI: 10.1101/2021.07.02.450937

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural NetworksDOI 10.1101/2021.07.02.450937Read

Explainable drug side effect prediction via biologically informed graph neural networkSemantic proximity Read

Knowledge Graphs and Explainable AI for Drug Repurposing on Rare DiseasesSemantic proximity Read

D4: Deep Drug-drug interaction Discovery and DemystificationSemantic proximity Read

A Case-Based Explainable Graph Neural Network Framework for Mechanistic Drug RepositioningSemantic proximity Read

Disentangling the contribution of disease genes to drug therapeutic and side effectsSemantic proximity Read

A transformer model explaining mechanisms of drug therapeutic and adverse effectsSemantic proximity Read

Deep Learning Can Identify Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological NetworkSemantic proximity Read

A knowledge graph approach to discovering drug combination therapies across the phenomeSemantic proximity Read

Mapping drug biology to disease genetics to discover drug impacts on the human phenomeSemantic proximity Read

MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug EventsSemantic proximity Read

Discovering the mechanism of action of drugs with a sparse explainable network.Semantic proximity Read

DREAMER: Exploring Common Mechanisms of Adverse Drug Reactions and Disease Phenotypes through Network-Based AnalysisSemantic proximity Read