Hyun Gyu Lim

This study evolves a microbial strain under dynamic conditions to optimize sugar catabolism, finding that mixed-sugar environments promote stable retention and coordinated optimization of multiple pathways.

This study uses adaptive laboratory evolution and rational engineering to improve Pseudomonas putida's tolerance to isoprenol, enhancing its production of a sustainable aviation fuel precursor.

This study identifies CyuR as a dual regulator in E. coli that contributes to antimicrobial resistance through Cys-dependent mechanisms and modulates antibiotic transporter expression.

The paper identifies the functions of seven LysR-type transcription factors in E. coli using multi-omics methods, revealing their roles in nitrogen source utilization and amino acid metabolism.

This study uses machine learning to uncover the genome-scale transcriptional regulatory network in Pseudomonas putida using gene expression data.

This study identifies and characterizes 34 new DNA-binding transcription factors in E. coli, predicts their functions, and expands the known total number of TFs.