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Updated: Jul 10, 2026

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology
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严格直角的生物传感器的设计,以最大限度地提高可再生生物燃料的过度生产

Tong Wu1, Dongli Yan2, Sheng Lin3

  • 1Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China; Tangshan Research Institute, BIT, No. 57, South Jianshe Road, Lubei District, Tangshan, Hebei 063000, China.

Journal of advanced research
|September 12, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于为精确的信号分子 (SM) 定位设计转录因子 (TF),从而实现高效的生物传感器开发和代谢工程应用.

关键词:
生物燃料的过度生产气键是一种气键.机器学习是机器学习.严格的正交度是严格的正交度.转录因子是一种转录因子.

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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow08:58

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