Machine learning-aided engineering of hydrolases for PET depolymerization

Hongyuan Lu; Daniel J. Diaz; Natalie J. Czarnecki; Congzhi Zhu; Wantae Kim; Raghav Shroff; Daniel J. Acosta; Bradley R. Alexander; Hannah Cole; Yan Zhang; Nathaniel A. Lynd; Andrew D. Ellington; Hal S. Alper

doi:10.1038/s41586-022-04599-z

Keywords

DepolymerizationPolyesterBottleHydrolysisMaterials scienceComputer scienceHydrolasePlastic bottleChemical engineeringChemistryEnzymePulp and paper industryBiochemical engineeringComposite materialOrganic chemistryPolymer chemistry

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Publication Info

Year: 2022
Type: article
Volume: 604
Issue: 7907
Pages: 662-667
Citations: 995
Access: Closed

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APA Style

                            
                                
                                    Hongyuan Lu, 
                                
                                    Daniel J. Diaz, 
                                
                                    Natalie J. Czarnecki
                                
                                et al.
                            
                            (2022). 
                            Machine learning-aided engineering of hydrolases for PET depolymerization. 
                            Nature
                            , 604
                            (7907)
                            , 662-667.
                            https://doi.org/10.1038/s41586-022-04599-z
                        

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DOI: 10.1038/s41586-022-04599-z