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Computational loop reconstruction based design of efficient PET hydrolases

Journal of Environmental Quality 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Hongzhao Wang, Yuntao Cun, Minxuan Wang, Xiaoyu Du, Zhenwu Yang, Hao Wang, Jun Zhang, Pengyu Wang, Yue Feng, Yushan Zhu

Summary

Researchers used computational loop reconstruction to redesign the beta6-beta7 loop region of PET hydrolase enzymes, producing variants with substantially improved PET depolymerization activity that could accelerate the development of enzymatic plastic recycling at industrial scale.

Polymers
Body Systems

Enzymatic PET depolymerization represents a promising approach for establishing a circular economy for PET plastics. Nonetheless, limitations in enzyme activity persist as significant challenges to its industrial application. In this research, the backbone structure of the β6-β7 loop for PET hydrolase Bhr-PETase derived from the thermophilic bacterium HR29 was reconstructed by introducing double mutations (H218N/F222M), resulting in variant Bhr-NMT with high thermal stability (Tm = 92.9 °C) and 87% increase in activity. Moreover, the loop reconstruction mutations are transplanted into the engineered PET hydrolases LCC-ICCG and Kubu-PM12, resulting variants LCC-ICCG-NM (Tm = 92.4 °C) and Kubu-PM12-NM (Tm = 92.9 °C). Under high substrate concentration (165 g kg-1) and an enzyme loading of 0.5 mgenzyme gPET-1, the designed variants Bhr-NMT, LCC-ICCG-NM, and Kubu-PM12-NM achieve an overall conversion of 93%, 90%, and 94%, respectively, outperforming the benchmark LCC-ICCG (85%). Notably, under reduced enzyme loading (0.3 mgenzyme gPET-1), Kubu-PM12-NM still reaches an overall conversion of 91%, which is significantly superior to benchmarks Kubu-PM12 (83%) and LCC-ICCG (71%). Overall, the engineered PET hydrolases demonstrate significant potential for industrial PET waste recycling.

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