Z Z Ma

This paper introduces Tx2Mol, a framework that translates gene-expression signatures into candidate molecules, outperforming baselines in chemical plausibility and phenotypic preservation.

SEHI-PPI predicts human-influenza protein-protein interactions using a double-view deep learning framework with adaptive negative sampling, outperforming existing methods and demonstrating strong generalizability.