Jinliang Liu

LNGCN improves PPI prioritization by using a distance-aware continuous-time graph framework, achieving high precision on imbalanced datasets and preserving residue-level representation diversity.

ProteinFlux predicts protein conformational dynamics influenced by post-translational modifications using a generative framework, outperforming traditional methods in speed and accuracy.