In recent years, artificial intelligence technology has developed rapidly, and its application has extended to the field of biological manufacturing. Recently, with the help of artificial intelligence technology, Wu Bian, a researcher at the Institute of Microbiology of the Chinese Academy of Sciences, has produced a series of new enzyme proteins. The research team has also obtained industrial Microbiological Engineering Strains for the first time in the world through complete computing guidance, providing an example for the breakthroughs in the industrial application of artificial intelligence in biological manufacturing.

The team acquired an artificial beta amino acid synthetase. Wu Bian introduced that beta amino acids are a large class of non protein amino acids and are widely used in medicine, food, agriculture and animal husbandry. In addition, it is also used in the synthesis of important active natural products and drugs, and is the synthesis unit of some anticancer drugs and diabetes drugs. For a long time, the synthesis of beta amino acid relies on metal catalysis, which not only costs a lot, but also pollutes the environment by chemical process. How to obtain beta amino acids through green biological methods has become a difficult problem for the industry. After repeated experiments, the team adopted artificial intelligence technology to design protein, and used the method of potential energy calculation to redesign the representative molecules. Finally, a series of artificial beta amino acid synthetases were successfully obtained. "The artificial reaction system has the advantages of high efficiency, high atom economy and green environmental protection, and the relevant index has reached the standard of industrial production." Said Wu.

The relevant research results were published in the journal natural chemistry biology. Industry experts say the team has provided a successful case for the design direction of artificial intelligence technology in industrial strains, validates its scientific theoretical basis, and promises to open new ideas for the integration of artificial intelligence with traditional industrial production.

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