以人工智能为动力,用于蛋白质工程和代谢工程的生物基础设施
Junyu Chen1, Nilmani Singh2, Jingxia Lu3
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States; DOE Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.
Current opinion in biotechnology
|November 5, 2025
概括
合成生物学利用人工智能 (AI) 和自动化生物工厂来加速蛋白质和代谢工程. 这种转变使得自主实验成为可能,推动了合成生物学领域的创新.
科学领域:
- 合成生物学 合成生物学
- 人工智能的人工智能是人工智能.
- 生物基础公司 (Biofoundries)
背景情况:
- 合成生物学正在迅速发展.
- 人工智能 (AI) 和自动化生物基础设施的整合是关键的发展.
- 这种融合改变了传统的实验方法.
研究的目的:
- 审查人工智能和生物基础集成在合成生物学方面的最新进展.
- 为了突出对蛋白质和代谢工程的影响.
- 强调加速科学发现的潜力.
主要方法:
- 审查人工智能驱动的生物基础设施的工作流程的发展.
- 对生物应用的AI模型的分析.
- 检查人工智能和生物基础设施之间的整合策略.
主要成果:
- 人工智能和生物基础加速了设计-构建-测试-学习循环.
- 自动化将工程从手动实验转移到自动实验.
- 在自动化蛋白质和代谢工程方面取得了重大进展.
结论:
- 由人工智能驱动的生物基础设施正在彻底改变合成生物学.
- 自主实验提高了效率和速度.
- 这种整合有望加速创新和发现.
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