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hERG-MFFGNN: An Explainable Deep Learning Model for Predicting Cardiotoxicity Using Multi-feature Fusion and Graph Neural Networks

Bingyu Jin, Jiarun Wang, Xin Yang, Lijie Na, Qi Zhao

2025Interdisciplinary Sciences Computational Life Sciences11 citationsDOI

Topics & Concepts

hERGComputer scienceArtificial intelligenceTorsades de pointesBenchmark (surveying)Deep learningArtificial neural networkFeature (linguistics)Drug repositioningQT intervalMachine learningCheminformaticsGraphCardiotoxicityPattern recognition (psychology)Long QT syndromeChannel (broadcasting)Drug discoveryFeature learningFingerprint (computing)Drug developmentVulnerability (computing)Computational modelCardiac electrophysiologyFeature extractionData miningFunction (biology)Cardiac electrophysiology and arrhythmiasComputational Drug Discovery MethodsECG Monitoring and Analysis
hERG-MFFGNN: An Explainable Deep Learning Model for Predicting Cardiotoxicity Using Multi-feature Fusion and Graph Neural Networks | Litcius