Taoyong Cui

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.

GALILEO autonomously discovers therapeutic peptides by combining AI reasoning with lab experiments, identifying peptides that block membrane currents and modulate immune responses.

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.

EvoRMD predicts RNA modification types using a model that integrates sequence data and biological context, achieving strong performance and interpretability.

This paper introduces ViSNet-PIMA, a model that improves non-local interaction modeling in biomolecular simulations, outperforming existing MLFFs and reducing calculation errors in AI2BMD.