Guimin Zhang

This study develops a yeast-based bioreporter, DnaSc, for sensitive and cost-effective detection of dioxin-like compounds and AhR agonists with a detection limit of 10 fM for TCDD.

The paper introduces YST-PPI, a method to study ER resident protein interactions in situ, identifies 74 protein pairs, and highlights Lhs1p's role in regulating these interactions.

HPClas is a machine learning classifier using catBoost to identify halophilic proteins with high accuracy, achieving AUROC scores of 0.877 and 0.845 on training and test sets respectively.

This paper designs a synergistic amplifier to enhance yeast biosensor performance for detecting dioxin-like compounds, achieving 5.1-fold signal increase and 4.4-fold improved detection limit.

This paper develops a combinatorial strategy to engineer HRV 3C protease for N-terminal free cleavage by expanding P1 specificity through structure-guided library design and high-throughput screening.