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Updated: Jun 13, 2026

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关于超高吞吐量选和机器学习在生物催化剂工程中的协同作用

Maximilian Gantz1, Simon V Mathis2, Friederike E H Nintzel1

  • 1Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.

Faraday discussions
|August 12, 2024
PubMed
概括

使用滴滴微流体的超高吞吐量 (uHT) 选使得快速,大规模的蛋白质工程成为可能. 将这与人工智能 (AI) 和机器学习 (ML) 相结合,加速了改进生物催化剂的发现.

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