Applications of artificial intelligence to enzyme and pathway design for metabolic engineering

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Metabolic engineering for developing industrial strains capable of overproducing bioproducts requires good understanding of cellular metabolism, including metabolic reactions and enzymes. However, metabolic pathways and enzymes involved are still unknown for many products of interest, which presents a key challenge in their biological production. This challenge can be partly overcome by constructing novel biosynthetic pathways through enzyme and pathway design approaches. With the increase in bio-big data, data-driven approaches using artificial intelligence (AI) techniques are allowing more advanced protein and pathway design. In this paper, we review recent studies on AI-aided protein engineering and design, focusing on directed evolution that uses AI approaches to efficiently construct mutant libraries. Also, recent works of AI-aided pathway design strategies, including template-based and template-free approaches, are discussed.
Publisher
CURRENT BIOLOGY LTD
Issue Date
2022-02
Language
English
Citation

CURRENT OPINION IN BIOTECHNOLOGY, v.73, pp.101 - 107

ISSN
0958-1669
DOI
10.1016/j.copbio.2021.07.024
URI
http://hdl.handle.net/10203/287070
Appears in Collection
CBE-Journal Papers(저널논문)
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