Yangyang Chen

This study evaluates the zero-shot performance of single-cell foundation models across tasks and datasets, showing task-dependent utility and structural robustness vary with dataset characteristics.

DMG-PPI is a dual-channel graph neural network that models similarity and complementarity in PPI networks, improving prediction accuracy and providing interpretable insights into binding mechanisms.

This study presents a chromosome-level genome of Ditylenchus destructor and identifies stage-specific effectors and transcription factors critical for parasitism.

This paper introduces GENiPPI, a molecular generative framework for PPI interfaces, which generates novel compounds targeting PPIs and demonstrates its effectiveness in capturing interface-molecule relationships.