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Updated: Jan 10, 2026

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通过深度蛋白质语言模型揭示 prokaryotic 全球调节者的风景

Jianing Geng1, Jiang Wu2, Sainan Luo1,3

  • 1State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.

mSystems
|November 24, 2025
PubMed
概括

这项研究使用深度学习框架揭示了 prokaryotes 中的全球调节器 (GR) 的庞大风景,发现了超过 270,000 种 GR 类蛋白质,并揭示了隐藏的调节多样性. 这项工作扩大了我们对微生物基因调节的理解,并为合成生物学提供了工具.

关键词:
深度学习是一种深度学习.全球监管机构全球监管机构原生生物基因组的基因组.蛋白质语言模型的模型监管网络 监管网络是指监管网络.合成生物学 合成生物学转录因子是一种转录因子.

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