The research team of the Institute of Microbiology has made new progress in computer-guided nucleoside metabolic engineering research

Nucleoside (acid) analogs have been used in nucleoside antiviral and anticancer drugs because their targets are mostly DNA polymerase or RNA reverse transcriptase, which can interfere with the nucleoside metabolism of tumor and virus cells.

Wen Tingyi's research group used the traditional metabolic engineering method of "inlet, pass, joint, block, and out" to construct nucleoside engineering bacteria from scratch in the early stage and existing literature.

On this basis, the research group continued to take the model bacterium Bacillus subtilis W168 as the research object, used the genome metabolic network model to analyze the metabolic flux and biomass of purine nucleosides, and used the local search heuristic algorithm (GDLS) and the minimum switch adjustment algorithm.

Under the guidance of computer, the research group analyzed the metabolic regulation mechanism of purine nucleoside synthesis from the overall level of cells, and predicted and screened effective targets

The above research results were recently published in the journal Biotechnology for Biofuels and Bioproducts (the original publication titled Biotechnology for Biofuels ), entitled "In silico-guided metabolic engineering of Bacillus subtilis for efficient biosynthesis of purine nucleosides by blocking the key backflow nodes", Deputy Deng Aihua The researcher is the first author, and researcher Wen Tingyi is the corresponding author

The above research was supported by the Strategic Pilot Project A of the Chinese Academy of Sciences (Honghu Project, XDA17010503), the General Projects of the National Natural Science Foundation of China (31570083 and 31170103), and the Institute of Green Process Manufacturing Innovation, Chinese Academy of Sciences (IAGM-2019-A02)

Article link: https://biotechnologyforbiofuels.