이상엽 연구실

Efficient molecular tools are prerequisite to designing and constructing high-performance microbial strains. By incorporating the synthetic biology principle and state-of-the-art genome engineering strategies, we develop powerful molecular tools to manipulate bacterial genomes and fine-tune metabolic fluxes. Development of a rapid one-step inactivation of single or multiple genes in Escherichia coli. Systems biology (or in silico biology) has been another important research domain of MBEL, and has been actively deployed in implementing systems metabolic engineering. For this, we develop computational models and methods, and apply them to various biotechnology problems. To this end, we develop genome-scale metabolic models (GEMs) of a series of bacteria that are important in industrial biotechnology. While we take genome-scale metabolic modeling as a general starting point of systems biology studies, we also actively adopt various complementary computational technologies covering bioinformatics, cheminformatics and machine learning (e.g., deep learning), depending on the problem definition. Microbial production of natural compounds is also of our interest as they provide very specialized useful functions, such as antioxidant, antibiotic and anticancer. It is usually difficult to chemically synthesize natural products, and therefore microbial biosynthesis can be a great solution for the enhanced production. We also use systems biology, bioinformatics and AI approaches to solve various medical problems, including antibiotics and anticancer discovery. For this purpose, we recently developed a generic human cell system that can be used in systems medicine and precision medicine problems. Our research efforts in this field are continuing to grow. We also explore nanobiotechno