Tao Jiang

Agent3Diso identifies disease-relevant molecular forms by integrating molecular data with agentic reasoning to guide therapeutic discovery beyond gene-level targets.

The paper develops 3DisoGalaxy to study alternative splicing in breast cancer, finding that many transcripts produce translation-supported proteins and that functional divergence is concentrated in specific regions.

This study develops a framework for predicting protein function and domain annotation at isoform resolution using structural and sequence data, showing strong performance in benchmark tests and capturing domain changes across isoforms.

MetaGXplore uses graph convolutional networks to predict tumor metastasis likelihood and identify key genes across pan-cancer multi-omics data.