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Computational redesign of a hydrolase for nearly complete PET depolymerization at industrially relevant high-solids loading

Author

Listed:
  • Yinglu Cui

    (Chinese Academy of Sciences)

  • Yanchun Chen

    (Chinese Academy of Sciences)

  • Jinyuan Sun

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Tong Zhu

    (Chinese Academy of Sciences)

  • Hua Pang

    (Chinese Academy of Sciences)

  • Chunli Li

    (Chinese Academy of Sciences)

  • Wen-Chao Geng

    (Chinese Academy of Sciences
    Nankai University)

  • Bian Wu

    (Chinese Academy of Sciences)

Abstract

Biotechnological plastic recycling has emerged as a suitable option for addressing the pollution crisis. A major breakthrough in the biodegradation of poly(ethylene terephthalate) (PET) is achieved by using a LCC variant, which permits 90% conversion at an industrial level. Despite the achievements, its applications have been hampered by the remaining 10% of nonbiodegradable PET. Herein, we address current challenges by employing a computational strategy to engineer a hydrolase from the bacterium HR29. The redesigned variant, TurboPETase, outperforms other well-known PET hydrolases. Nearly complete depolymerization is accomplished in 8 h at a solids loading of 200 g kg−1. Kinetic and structural analysis suggest that the improved performance may be attributed to a more flexible PET-binding groove that facilitates the targeting of more specific attack sites. Collectively, our results constitute a significant advance in understanding and engineering of industrially applicable polyester hydrolases, and provide guidance for further efforts on other polymer types.

Suggested Citation

  • Yinglu Cui & Yanchun Chen & Jinyuan Sun & Tong Zhu & Hua Pang & Chunli Li & Wen-Chao Geng & Bian Wu, 2024. "Computational redesign of a hydrolase for nearly complete PET depolymerization at industrially relevant high-solids loading," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45662-9
    DOI: 10.1038/s41467-024-45662-9
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