Key research themes
1. How can enzyme activity measurements within living cells differ from in vitro assays, and what implications does this have for understanding enzymatic function?
This research area investigates the discrepancies between enzyme catalytic efficiencies measured in vitro and those observed in vivo within living cells, focusing on factors like substrate diffusion limitations, cellular crowding, and variability among cells. Understanding these differences is critical for accurately translating kinetic parameters from purified systems to physiological contexts, impacting drug design, metabolic engineering, and enzyme functionality predictions in complex biological environments.
2. What modern methodologies enhance enzyme function classification and kinetic parameter optimization to improve assay reliability and functional annotation?
This theme encompasses computational and experimental methods for classifying enzyme function based on sequence, structure, and features, as well as the implementation of design of experiments (DoE) and advanced assay protocols to optimize kinetic measurements. Efficient and accurate enzyme classification and assay design are crucial for high-throughput screening, drug discovery, and elucidating enzyme mechanisms.
3. How are microbial and industrial enzymes optimized and applied across industries including healthcare, food, and biotechnology?
This research area focuses on the exploitation of microbial enzymes for industrial uses, covering enzyme discovery, bioprospecting, engineering approaches, and practical applications in sectors like pharmaceuticals, food, and environmental technology. Emphasis is placed on enzyme source diversity, stability enhancement, large scale production, and advances in supporting technologies such as metagenomics and bioinformatics.