Xiaojun Yao

This paper develops PPPd-MNs that use PEI's cytotoxicity and Pd catalysis to synergistically treat melanoma, achieving 98% tumor inhibition in mice.

MVCBench evaluates drug molecular and gene representation methods for predicting drug-induced multimodal cell phenotypes using transcriptomic and imaging data.

This paper introduces PROTAC-STAN, a deep learning framework for interpretable PROTAC degradation prediction, achieving improved accuracy and model interpretability.

The paper introduces PepPCBench, a benchmark framework to evaluate AlphaFold3's performance in predicting protein-peptide complexes using a curated dataset.

This paper introduces E-DIS, a framework for drug-target interaction prediction that improves generalization to out-of-distribution data by combining domain-specific and domain-generic features.