Machine learning-aided engineering of hydrolases for PET depolymerization

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

doi:10.1038/s41586-022-04599-z

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Machine learning-aided engineering of hydrolases for PET depolymerization

Author(s): Hongyuan Lu , Daniel J. Diaz , Natalie J. Czarnecki , Congzhi Zhu , Wantae Kim , Raghav Shroff , Daniel J. Acosta , Bradley R. Alexander , Hannah O. Cole , Yan Zhang , Nathaniel A. Lynd , Andrew D. Ellington , Hal S. Alper

Publication date (Electronic): April 27 2022

Journal: Nature

Publisher: Springer Science and Business Media LLC

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We present the first ever global account of the production, use, and end-of-life fate of all plastics ever made by humankind.

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Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix

Dorothee Liebschner, Pavel Afonine, Matthew Baker … (2019)

Recent developments in the Phenix software package are described in the context of macromolecular structure determination using X-rays, neutrons and electrons.