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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Remediation Sign in to save

Dynamic docking assisted engineering of hydrolase for efficient PET depolymerization

Research Square (Research Square) 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Tianyuan Su, Yingbo Yuan, Yingbo Yuan, Tianyuan Su, Yi Zheng, Yi Zheng, Qingbin Li, Qingbin Li, Qingsheng Qi Pan Liu, Yingbo Yuan, Yingbo Yuan, Quanfeng Liang, Longyang Dian, Tianyuan Su, Quanfeng Liang, Qian Wang, Quanfeng Liang, Longyang Dian, Qingsheng Qi Qingsheng Qi

Summary

Researchers developed a computational protein engineering strategy called Affinity analysis based on Dynamic Docking (ADD) to enhance the PET-degrading enzyme leaf-branch-compost cutinase (LCC), producing a variant (LCC-A2) that degraded over 90% of post-consumer PET waste into monomers within 3.3 hours.

Polymers

Abstract Poly(ethylene terephthalate) (PET) is the most abundant polyester plastic and is causing serious environmental pollution. Rapid biological depolymerization of PET waste at large scale requires powerful engineered enzymes with excellent performance. Here, we designed a computational strategy to analyze the ligand affinity energy of enzymes to PET chains by molecular docking with the dynamic protein conformations, named Affinity analysis based on Dynamic Docking (ADD). After three rounds of protein engineering assisted by ADD, we drastically enhanced the PET-degrading activity of leaf-branch-compost cutinase (LCC). The best variant LCC-A2 degraded >90% of the pretreated, post-consumer PET waste into corresponding monomers within 3.3 h, and over 99% of the products were terminal degradation products (terephthalic acid and ethylene glycol), representing the fastest PET degradation rate reported to date. Structural analysis revealed interesting features that improved the ligand affinity and catalytic performance. In conclusion, the proposed strategy and engineered variants represent a substantial advancement of the biological circular economy for PET.

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