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Updated: May 10, 2026

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使用全细胞模型和机器学习的Escherichia coli减少基因组的加速设计

Ioana M Gherman1, Kieren Sharma1, Joshua Rees-Garbutt2

  • 1School of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK.

Cell systems
|September 25, 2025
PubMed
概括

机器学习 (ML) 替代品显著加速全细胞模型 (WCMs),减少95%的计算时间. 这使得在合成生物学应用中能够创建一个在体中减少的大肠杆菌基因组.

关键词:
基因的基本性基因的基本性基因组设计 基因组设计基因组的缩小是基因组的缩小.机器学习的替代品合成生物学 合成生物学整个细胞建模的全细胞建模

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