Shuguang Robert Cui

This paper evaluates how unified perturbational modeling improves AI virtual cell predictors by integrating heterogeneous Perturb-seq datasets and achieving better performance across benchmarks.

DigiAra designs Arabidopsis mutants with enhanced microbial resistance using a simulation-scoring-screening pipeline and hybrid gene interaction modeling.

The paper introduces CARD, a method that integrates complex-level information to improve tertiary structure-based RNA design by incorporating protein features and affinity evaluation.

PointSite identifies protein ligand binding atoms using point cloud segmentation, outperforming previous methods and reducing false positives through cascaded filtering.