I. Arab

Semi-Supervised Learning to Boost Cardiotoxicity Prediction by Mining a Large Unlabeled Small Molecule Dataset

This study uses semi-supervised learning on a large unlabeled dataset to improve cardiotoxicity prediction for three ion channels, identifying potential cardiac-active compounds.

Benchmarking of Small Molecule Feature Representations for hERG, Nav1.5, and Cav1.2 Cardiotoxicity Prediction

This paper benchmarks small molecule feature representations for predicting cardiotoxicity against hERG, Nav1.5, and Cav1.2 channels using a new dataset and tool.