Machine Learning Empowering Microbial Cell Factory: A Comprehensive Review
- 21 May 2025
- journal article
- review article
- Published by Springer Nature in Applied Biochemistry and Biotechnology
- p. 1-17
Abstract
The wide application of machine learning has provided more possibilities for biological manufacturing, and the combination of machine learning and synthetic biology technology has ignited even more brilliant sparks, which has created an unpredictable value for the upgrading of microbial cell factories. The review delves into the synergies between machine learning and synthetic biology to create research worth investigating in biotechnology. We explore relevant databases, toolboxes, and machine learning–derived models. Furthermore, we examine specific applications of this combined approach in chemical production, human health, and environmental remediation. By elucidating these successful integrations, this review aims to provide valuable guidance for future research at the intersection of biomanufacturing and artificial intelligence. Graphical AbstractKeywords
Funding Information
- National Key R & D Program of China (2020YFA0908300)
- National Natural Science Foundation of China (No. 22208167, No.22308167)
- Natural Science Foundation of Jiangsu Province (No. BK20230381)
- the Jiangsu Basic Research Center for Synthetic Biology Grant (BK20233003)
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