Xiaoying Zhang

A ligand-property-guided computational framework for prioritizing de novo protein binders for small molecules

This paper develops a computational framework to prioritize de novo protein binders for small molecules based on ligand physicochemical properties and evaluates its effectiveness across different ligand types.

A dual-layer computational framework for prioritising therapeutic candidates targeting extracellular vesicle-mediated immune escape in pancreatic ductal adenocarcinoma

This paper develops a dual-layer computational framework to identify therapeutic candidates targeting EV-mediated immune escape in PDAC by integrating gene prioritization and small-molecule design with antibody-like binder models.

De novo design of binder proteins targeting Helicobacter pylori adhesin BabA

This study designs compact protein binders targeting BabA, an H. pylori adhesin, using a structure-guided computational pipeline integrating structural, sequence, and evolutionary analyses.

Microbial single-cell omics in situ

The paper reports a method using LIFT technology to obtain high-quality microbial single-cell genomes or transcriptomes from complex samples and demonstrates its application to study cell-fate commitment in sporulation.