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Computational Engineering of a Thermostable Enzyme for the Degradation of PET Through Manipulation of Disulfide Bonds
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Researchers used computational protein engineering to introduce additional disulfide bonds into the FAST-PETase enzyme structure, finding that increased disulfide bond density enhanced thermal stability beyond existing benchmarks, pointing toward a rational design path for more industrially viable PET-degrading biocatalysts.
Plastic pollution is a significant problem, accounting for approximately 12% of global solid waste [1], and plastic production and waste have more than doubled since 2000. Most plastics do not biodegrade and persist in the environment, slowly breaking down into toxic microplastics that harm ecosystems and create lasting adverse impacts. One of the most widely used plastics is polyethylene terephthalate (PET), accounting for 18% of global plastic production [2]. Currently, the most sustainable recycling method is biocatalysis, in which enzyme-catalyzed degradation of the polymer backbone generates low-molecular-weight fragments, enabling mild depolymerization. However, less than 1% of global plastic waste processing facilities use this process due to the limited thermostability of PETase enzymes, which limits the approach's general applicability and hinders its broad adoption [3]. One strategy by which nature enhances the thermal stability of enzymes is by the incorporation of disulfide bonds, a defining feature of thermophilic bacteria that thrive at elevated temperatures [4]. This study investigated whether increasing disulfide bond density could improve the thermostability of FAST-PETase by testing the hypothesis that additional disulfide bonds increase PETase thermostability. The FAST-PETase structure was mutated in PyMOL to introduce additional disulfide bonds, and the resulting mutants' thermal stability was evaluated. Engineered variants demonstrated enhanced thermal robustness compared to existing PETase benchmarks, indicating that rational disulfide bond engineering can stabilize PETase enzymes. These computational results demonstrate a novel enzyme-design approach that addresses a key bottleneck in biocatalytic plastic recycling and sets the stage for advancing enzymatic PET degradation toward global commercial viability.
More Papers Like This
Computational Engineering of a Thermostable Enzyme for the Degradation of PET Through Manipulation of Disulfide Bonds
AI summary Read the abstract
Researchers used computational protein engineering to introduce additional disulfide bonds into the FAST-PETase enzyme structure, finding that increased disulfide bond density enhanced thermal stability beyond existing benchmarks, pointing toward a rational design path for more industrially viable PET-degrading biocatalysts.
Rational Design of Disulfide Bridges in BbPETaseCD for Enhancing the Enzymatic Performance in PET Degradation
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Researchers rationally designed disulfide bridges in BbPETase, a PET-degrading enzyme from a Burkholderiales bacterium, to enhance its thermostability and enzymatic performance, offering a promising avenue for more efficient biological recycling of PET plastic waste.
Computational redesign of a PETase for plastic biodegradation by the GRAPE strategy
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Researchers engineered a more stable version of the enzyme PETase, which breaks down PET plastic, using a computational protein design strategy. The improved enzyme could enable more efficient industrial biodegradation of PET plastic waste, including microplastics.
Computational Redesign of a PETase for Plastic Biodegradation under Ambient Condition by the GRAPE Strategy
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Researchers developed a computational protein engineering strategy called GRAPE to redesign a PET-degrading enzyme from Ideonella sakaiensis. The resulting DuraPETase variant showed a 31-degree-Celsius increase in thermal stability and over 300-fold improved degradation of PET films at mild temperatures, achieving complete biodegradation of 2 g/L microplastics into water-soluble products under ambient conditions.
Temperature-Dependent Reorganization of Conformational Dynamics and Interaction Networks Underlies Thermostability in PET-Degrading Enzymes
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Scientists are studying how to engineer sturdier enzymes that can break down plastic bottles (PET) into reusable materials, since natural plastic-eating enzymes tend to fall apart at the high temperatures needed for efficient recycling. By using computer simulations to compare a natural enzyme with two engineered, heat-resistant versions, researchers pinpointed exactly what structural features let the improved enzymes stay stable and functional under heat. This matters because better plastic-recycling enzymes could help reduce the massive amount of plastic waste that breaks down into microplastics — tiny particles increasingly found in our food
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