面向生物制造的数据库、知识库与大模型  

Databases,knowledge bases,and large models for biomanufacturing

作　　者：毛志涛 廖小平 马红武[1,2] MAO Zhitao;LIAO Xiaoping;MA Hongwu(Tianjin Institute of Industrial Biotechnology,Chinese Academy of Sciences,Tianjin 300308,China;National Center of Technology Innovation for Synthetic Biology,Tianjin 300308,China)

机构地区：[1]中国科学院天津工业生物技术研究所,天津300308 [2]国家合成生物技术创新中心,天津300308

出　　处：《生物工程学报》2025年第3期901-916,共16页Chinese Journal of Biotechnology

基　　金：国家重点研发计划(2022YFC2106000);国家自然科学基金(32300529);天津市合成生物技术创新能力提升行动项目(TSBICIP-PTJJ-012)。

摘　　要：生物制造技术是一种融合生物学、化学和工程学的前沿制造方法,利用可再生生物质和生物体作为生产介质,通过发酵过程规模化生产目标产品。与传统石化路线相比,生物制造在减少CO_(2)排放、降低能耗和成本方面具有显著优势。随着系统生物学、合成生物学的发展和生物大数据的积累,人工智能、大模型和高性能计算等信息技术与生物技术的融合,生物制造正逐步进入数据驱动时代。本文综述了面向生物制造的数据库、知识库与大语言模型的最新研究进展,探讨了该领域的发展方向、难点以及新兴技术方法,为相关领域的科研工作提供了参考和启示。Biomanufacturing is an advanced manufacturing method that integrates biology,chemistry,and engineering.It utilizes renewable biomass and biological organisms as production media to scale up the production of target products through fermentation.Compared with petrochemical routes,biomanufacturing offers significant advantages in reducing CO_(2) emissions,lowering energy consumption,and cutting costs.With the development of systems biology and synthetic biology and the accumulation of bioinformatics data,the integration of information technologies such as artificial intelligence,large models,and high-performance computing with biotechnology is propelling biomanufacturing into a data-driven era.This paper reviews the latest research progress on databases,knowledge bases,and large language models for biomanufacturing.It explores the development directions,challenges,and emerging technical methods in this field,aiming to provide guidance and inspiration for scientific research in related areas.

关 键 词：生物制造 数据驱动 数据库 知识库 大模型 

分 类 号：Q81[生物学—生物工程]