Computation-driven redesign of an NRPS-like carboxylic acid reductase improves activity and selectivity

Kun Shi, Ju Mou Li, Mu Qiang Wang, Yi Ke Zhang, Zhi Jun Zhang, Qi Chen, Frank Hollmann, Jian He Xu, Hui Lei Yu*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Engineering nonribosomal peptide synthetases (NRPSs) has been a “holy grail” in synthetic biology due to their modular nature and limited understanding of catalytic mechanisms. Here, we reported a computational redesign of the “gate-keeper” adenylation domain of the model NRPS-like enzyme carboxylic acid reductases (CARs) by using approximate mechanism-based geometric criteria and the Rosetta energy score. Notably, MabCAR3 mutants ACA-1 and ACA-4 displayed a remarkable improvement in catalytic efficiency (kcat/KM) for 6-aminocaproic acid, up to 101-fold. Furthermore, G418K exhibited an 86-fold enhancement in substrate specificity for adipic acid compared to 6-aminocaproic acid. Our work provides not only promising biocatalysts for nylon monomer biosynthesis but also a strategy for efficient NRPSs engineering.
Original languageEnglish
Article numbereadp6775
Number of pages11
JournalScience Advances
Volume10
Issue number48
DOIs
Publication statusPublished - 2024

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