Zheyang Zhang

The paper identifies a novel allosteric pocket in KV1.3 that enables selective immunomodulator design, revealing a non-contact selectivity mechanism through structural analysis and inhibitor development.

The paper identifies prognostic-associated subpopulations and develops recurrence risk signatures from scRNA-seq data of colorectal cancer using a rank-based framework.

The paper integrates single-cell transcriptome data from liver samples to identify cell lineage similarities and prognostic subpopulations between cirrhosis and liver cancer.

The paper develops a tool called IDEP to perform personalized differential expression analysis on cancer proteomes, showing it can identify patient-specific deregulated proteins more effectively than group-based methods.