Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design

Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design

Metabolic modeling and machine learning (ML) are crucial components of the evolving next-generation tools in systems and synthetic biology, aiming to unravel the intricate relationship between genotype, phenotype, and the environment. Nonetheless, the comprehensive exploration of integrating these t...

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Bibliographic Details
Main Authors: Debiao Wu, Feng Xu, Yaying Xu, Mingzhi Huang, Zhimin Li, Ju Chu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-03-01
Series:Synthetic and Systems Biotechnology
Subjects:
Metabolic modeling
Machine learning
Flux balance analysis
Biosystems design
Saccharomyces cerevisiae
Succinate dehydrogenase
Online Access:http://www.sciencedirect.com/science/article/pii/S2405805X23001114

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http://www.sciencedirect.com/science/article/pii/S2405805X23001114

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