Chong Zhang

The paper develops a strategy combining genome editing and biosensor-assisted sorting to identify SNVs enhancing recombinant protein secretion in Pichia pastoris, achieving a high rHSA titer.

HyperSTAR identifies spatial domains across resolutions using hypergraph learning, outperforming existing methods in spatial omics analysis and revealing breast cancer spatial heterogeneity.

This study uses CRISPRi screening to identify transcription factors crucial for growth and carbon utilization in Clostridium ljungdahlii, improving ethanol production through deoR optimization.

This paper introduces dSort-Seq, a deep-learning-assisted Sort-Seq method for high-throughput profiling of gene expression characteristics with high precision, and demonstrates its application in studying noise and dose-response relationships in E. coli.

The paper presents a deep learning model, BERT-DPPIV, to identify DPP-IV inhibitory peptides and uncover design rules, achieving high accuracy and revealing restriction enzyme cutting sites.

The paper uses cryo-EM to study T-box-tRNA interactions and shows how structural modifications enhance selectivity and sensitivity in translational regulation.

The paper measures thermodynamic parameters of RNA/DNA hybrid duplexes and develops a nearest-neighbor parameter set with high accuracy for predicting their properties.

GLiDe is a web-based tool for designing CRISPRi sgRNA libraries in prokaryotes, improving off-target detection and providing a database for 1,397 species.