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一个人工智能驱动的工作流程,用于加速优化无细胞蛋白质合成

Mostafa M Khalil1, Aisha Elsawah1, An N Hoang1

  • 1Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78352 Jouy-en-Josas, France.

iScience
|October 20, 2025
PubMed
概括

我们开发了一个使用主动学习的自动化管道来优化无细胞蛋白质合成 (CFPS). 该系统显著提高了蛋白质产量,使合成生物学工作流程更有效和更容易获得.

关键词:
代谢工程是代谢工程.蛋白质蛋白质是蛋白质蛋白质的组成部分.合成生物学 合成生物学

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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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