Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET
Polyethylene terephthalate (PET) is the largest produced polyester globally, and less than 30% of all the PET produced globally (∼6 billion pounds annually) is currently recycled into lower-quality products. The major drawbacks in current recycling methods (mechanical and chemical), have inspired th...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Computational and Structural Biotechnology Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023002179 |
| _version_ | 1827577712821141504 |
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| author | Sandhya K. Jayasekara Hriday Dhar Joni Bhagya Jayantha Lakshika Dissanayake Christopher Mandrell Manuka M.S. Sinharage Ryan Molitor Thushari Jayasekara Poopalasingam Sivakumar Lahiru N. Jayakody |
| author_facet | Sandhya K. Jayasekara Hriday Dhar Joni Bhagya Jayantha Lakshika Dissanayake Christopher Mandrell Manuka M.S. Sinharage Ryan Molitor Thushari Jayasekara Poopalasingam Sivakumar Lahiru N. Jayakody |
| author_sort | Sandhya K. Jayasekara |
| collection | DOAJ |
| description | Polyethylene terephthalate (PET) is the largest produced polyester globally, and less than 30% of all the PET produced globally (∼6 billion pounds annually) is currently recycled into lower-quality products. The major drawbacks in current recycling methods (mechanical and chemical), have inspired the exploration of potentially efficient and sustainable PET depolymerization using biological approaches. Researchers have discovered efficient PET hydrolyzing enzymes in the plastisphere and have demonstrated the selective degradation of PET to original monomers thus enabling biological recycling or upcycling. However, several significant hurdles such as the less efficiency of the hydrolytic reaction, low thermostability of the enzymes, and the inability of the enzyme to depolymerize crystalline PET must be addressed in order to establish techno-economically feasible commercial-scale biological PET recycling or upcycling processes. Researchers leverage a synthetic biology-based design; build, test, and learn (DBTL) methodology to develop commercially applicable efficient PET hydrolyzing enzymes through 1) high-throughput metagenomic and proteomic approaches to discover new PET hydrolyzing enzymes with superior properties: and, 2) enzyme engineering approaches to modify and optimize PET hydrolyzing properties. Recently, in-silico platforms including molecular mechanics and machine learning concepts are emerging as innovative tools for the development of more efficient and effective PET recycling through the exploration of novel mutations in PET hydrolyzing enzymes. In-silico-guided PET hydrolyzing enzyme engineering with DBTL cycles enables the rapid development of efficient variants of enzymes over tedious conventional enzyme engineering methods such as random or directed evolution. This review highlights the potential of in-silico-guided PET degrading enzyme engineering to create more efficient variants, including Ideonella sakaiensis PETase (IsPETase) and leaf-branch compost cutinases (LCC). Furthermore, future research prospects are discussed to enable a sustainable circular economy through the bioconversion of PET to original or high-value platform chemicals. |
| first_indexed | 2024-03-08T21:30:43Z |
| format | Article |
| id | doaj.art-f9034bbd39ad435c97387df24ed1030c |
| institution | Directory Open Access Journal |
| issn | 2001-0370 |
| language | English |
| last_indexed | 2024-03-08T21:30:43Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj.art-f9034bbd39ad435c97387df24ed1030c2023-12-21T07:31:38ZengElsevierComputational and Structural Biotechnology Journal2001-03702023-01-012135133521Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PETSandhya K. Jayasekara0Hriday Dhar Joni1Bhagya Jayantha2Lakshika Dissanayake3Christopher Mandrell4Manuka M.S. Sinharage5Ryan Molitor6Thushari Jayasekara7Poopalasingam Sivakumar8Lahiru N. Jayakody9School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Physics and Applied Physics, Southern Illinois University Carbondale, Carbondale, IL, USASchool of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA; Fermentation Science Institute, Southern Illinois University Carbondale, Carbondale, IL, USA; Corresponding author at: School of Biological Science, Southern Illinois University Carbondale, Carbondale, IL, USA.Polyethylene terephthalate (PET) is the largest produced polyester globally, and less than 30% of all the PET produced globally (∼6 billion pounds annually) is currently recycled into lower-quality products. The major drawbacks in current recycling methods (mechanical and chemical), have inspired the exploration of potentially efficient and sustainable PET depolymerization using biological approaches. Researchers have discovered efficient PET hydrolyzing enzymes in the plastisphere and have demonstrated the selective degradation of PET to original monomers thus enabling biological recycling or upcycling. However, several significant hurdles such as the less efficiency of the hydrolytic reaction, low thermostability of the enzymes, and the inability of the enzyme to depolymerize crystalline PET must be addressed in order to establish techno-economically feasible commercial-scale biological PET recycling or upcycling processes. Researchers leverage a synthetic biology-based design; build, test, and learn (DBTL) methodology to develop commercially applicable efficient PET hydrolyzing enzymes through 1) high-throughput metagenomic and proteomic approaches to discover new PET hydrolyzing enzymes with superior properties: and, 2) enzyme engineering approaches to modify and optimize PET hydrolyzing properties. Recently, in-silico platforms including molecular mechanics and machine learning concepts are emerging as innovative tools for the development of more efficient and effective PET recycling through the exploration of novel mutations in PET hydrolyzing enzymes. In-silico-guided PET hydrolyzing enzyme engineering with DBTL cycles enables the rapid development of efficient variants of enzymes over tedious conventional enzyme engineering methods such as random or directed evolution. This review highlights the potential of in-silico-guided PET degrading enzyme engineering to create more efficient variants, including Ideonella sakaiensis PETase (IsPETase) and leaf-branch compost cutinases (LCC). Furthermore, future research prospects are discussed to enable a sustainable circular economy through the bioconversion of PET to original or high-value platform chemicals.http://www.sciencedirect.com/science/article/pii/S2001037023002179PET hydrolasesMutagenesisPET bio-recyclingMolecular mechanicsMachine learning |
| spellingShingle | Sandhya K. Jayasekara Hriday Dhar Joni Bhagya Jayantha Lakshika Dissanayake Christopher Mandrell Manuka M.S. Sinharage Ryan Molitor Thushari Jayasekara Poopalasingam Sivakumar Lahiru N. Jayakody Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET Computational and Structural Biotechnology Journal PET hydrolases Mutagenesis PET bio-recycling Molecular mechanics Machine learning |
| title | Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET |
| title_full | Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET |
| title_fullStr | Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET |
| title_full_unstemmed | Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET |
| title_short | Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET |
| title_sort | trends in in silico guided engineering of efficient polyethylene terephthalate pet hydrolyzing enzymes to enable bio recycling and upcycling of pet |
| topic | PET hydrolases Mutagenesis PET bio-recycling Molecular mechanics Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2001037023002179 |
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