Article

A transformer model explaining mechanisms of drug therapeutic and adverse effects

2026-05-13

Abstract excerpt

Understanding which disease genes are altered by a drug can provide insight into the biology of effect, help us understand adverse drug effects, and suggest new drug uses. Here, we build on our model Draphnet in a new formulation with a similar goal. Draphnet was designed to explain drug therapeutic and side effects by learning a network connecting drugs to the disease genes they alter. Our new model, DraPhormer,...

Topics

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

Identifiers and source

Literature Corpus work: a2c45c2f-20d7-559a-9cc6-7293ef3f4493
DOI: 10.64898/2026.05.11.26352917

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A transformer model explaining mechanisms of drug therapeutic and adverse effectsDOI 10.64898/2026.05.11.26352917Read

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

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

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

APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural NetworksSemantic proximity Read

ChemBERTaDDI: Transformer Driven Molecular Structures and Clinical Data for predicting drug-drug interactionsSemantic proximity Read

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

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

Systematic integration of biomedical knowledge prioritizes drugs for repurposingSemantic proximity Read

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

NetMedGPT - A network medicine foundation model for extensive disease mechanism mining and drug repurposingSemantic proximity Read

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

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