机器学习赋权微生物细胞工厂:一个全面的审查
Dechun Kong1, Jinyi Qian2, Cong Gao3
1School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Applied biochemistry and biotechnology
|May 21, 2025
概括
机器学习和合成生物学正在彻底改变生物制造,增强微生物细胞工厂的化学生产,健康和环境解决方案. 本综述探讨了它们对未来生物技术创新的协同潜力.
科学领域:
- 生物技术是生物技术.
- 合成生物学 合成生物学
- 机器学习 机器学习
- 人工智能的人工智能
背景情况:
- 机器学习 (ML) 应用在生物制造业正在扩大.
- 机器学习与合成生物学的整合为微生物细胞工厂的增强提供了显著的潜力.
- 这种协同作用为升级生物制造工艺创造了价值.
研究的目的:
- 审查在生物技术中的ML和合成生物学之间的协同关系.
- 探索相关的数据库,工具箱和ML模型.
- 检查化学生产,人类健康和环境修复中的应用.
主要方法:
- 关于ML和合成生物学整合的文献综述.
- 探索相关的数据库和计算工具箱.
- 分析ML衍生模型及其应用.
主要成果:
- 确定了ML和合成生物学之间的关键协同作用.
- 编目相关资源,包括数据库和工具箱.
- 详细介绍了化学生产,人类健康和环境修复方面的成功应用.
结论:
- 机器学习和合成生物学的结合为生物制造创新提供了重大机会.
- 成功的整合突显了各个领域的进步潜力.
- 为生物制造和人工智能交叉点的未来研究提供指导.
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