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-Structure paper
Title | Machine learning-aided engineering of hydrolases for PET depolymerization. |
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Journal, issue, pages | Nature, Vol. 604, Page 662-667, Year 2022 |
Publish date | Oct 8, 2021 (structure data deposition date) |
![]() | Lu, H. / Diaz, D.J. / Czarnecki, N.J. / Zhu, C. / Kim, W. / Shroff, R. / Acosta, D.J. / Alexander, B.R. / Cole, H.O. / Zhang, Y. ...Lu, H. / Diaz, D.J. / Czarnecki, N.J. / Zhu, C. / Kim, W. / Shroff, R. / Acosta, D.J. / Alexander, B.R. / Cole, H.O. / Zhang, Y. / Lynd, N.A. / Ellington, A.D. / Alper, H.S. |
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Methods | X-ray diffraction |
Resolution | 1.44 Å |
Structure data | ![]() PDB-7sh6: |
Chemicals | ![]() ChemComp-SO4: ![]() ChemComp-HOH: |
Source |
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![]() | HYDROLASE / PET hydrolase / PET degradation / Protein Engineering / Machine Learning |