Databases, knowledge bases, and large models for biomanufacturing.
- Author:
Zhitao MAO
1
;
Xiaoping LIAO
1
;
Hongwu MA
1
Author Information
- Publication Type:English Abstract
- Keywords: biomanufacturing; data-driven; databases; knowledge bases; large models
- MeSH: Biotechnology/methods*; Knowledge Bases; Synthetic Biology; Databases, Factual; Artificial Intelligence; Systems Biology; Computational Biology; Fermentation
- From: Chinese Journal of Biotechnology 2025;41(3):901-916
- CountryChina
- Language:Chinese
- Abstract: 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 CO2 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.
