Epilactose is a promising functional disaccharide, but its biomanufacturing is limited by insufficient enzyme activity, poor thermostability, and costly catalyst preparation. We first used the REME platform to computationally evaluate candidate enzymes. Among them, cellobiose 2-epimerase from Caldicellulosiruptor saccharolyticus (CsCE) showed the highest epilactose synthesis activity. We therefore developed an integrated strategy combining computational design, SpyTag/SpyCatcher-mediated cyclization, and ethanol-permeabilized whole-cell catalysis. By combining enzyme ligand binding energy analysis, protein stability prediction, and catalytic constant prediction, the V52N variant was obtained. Its epilactose synthesis activity was 3.45 times that of the wild type, while lactulose formation was reduced to 14.8% of the wild-type level. Cyclized CCT increased the optimum temperature to 80 °C and extended the half-life at 85 °C by 5.52-fold. The optimized whole-cell process produced 65.81 g/L epilactose from 200 g/L lactose within 20 min, corresponding to 32.90% conversion. This strategy provides a practical route for efficient epilactose biomanufacturing.
A resource-aware optimization framework that dynamically selects the MPI process count and performs node- and NUMA-aware process placement and reduces task-sequence execution time and improves the evaluated resource-utilization metrics by more than 30%.
Wenxiao Wang, Zibo Gao, Guoding Ji et al.· Journal of Intelligent Compu...· 0 citations