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TitleMachine Learning-Guided Identification of PET Hydrolases from Natural Diversity.
Journal, issue, pagesAcs Catalysis, Vol. 15, Page 16070-16083, Year 2025
Publish dateApr 18, 2025 (structure data deposition date)
AuthorsNorton-Baker, B. / Komp, E. / Gado, J.E. / Denton, M.C.R. / Mathews, I.I. / Murphy, N.P. / Erickson, E. / Storment, O.O. / Sarangi, R. / Gauthier, N.P. ...Norton-Baker, B. / Komp, E. / Gado, J.E. / Denton, M.C.R. / Mathews, I.I. / Murphy, N.P. / Erickson, E. / Storment, O.O. / Sarangi, R. / Gauthier, N.P. / McGeehan, J.E. / Beckham, G.T.
External linksAcs Catalysis / PubMed:40995134
MethodsX-ray diffraction
Resolution1.76 Å
Structure data

PDB-9o9w:
Crystal structure of an alpha/beta-hydrolase from Actinoplanes sp. DH11
Method: X-RAY DIFFRACTION / Resolution: 1.76 Å

Chemicals

ChemComp-CA:
Unknown entry

ChemComp-PGE:
TRIETHYLENE GLYCOL

ChemComp-CL:
Unknown entry

ChemComp-HOH:
WATER

Source
  • actinoplanes sp. dh11 (bacteria)
KeywordsHYDROLASE / PET Hydrolase

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