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9HVB

High-efficiency Kemp eliminases by complete computational design

Summary for 9HVB
Entry DOI10.2210/pdb9hvb/pdb
DescriptorKemp eliminase, SULFATE ION (3 entities in total)
Functional Keywordsinhibitor, lyase
Biological sourceEscherichia coli
Total number of polymer chains1
Total formula weight28370.31
Authors
Listov, D.,Dym, O.,Vos, E.,Hoffka, G.,Berg, A.,Rogotner, S.,Caroline, s.,Kamerlin, L.,Fleishman, S.J. (deposition date: 2024-12-26, release date: 2025-06-11, Last modification date: 2025-08-13)
Primary citationListov, D.,Vos, E.,Hoffka, G.,Hoch, S.Y.,Berg, A.,Hamer-Rogotner, S.,Dym, O.,Kamerlin, S.C.L.,Fleishman, S.J.
Complete computational design of high-efficiency Kemp elimination enzymes.
Nature, 643:1421-1427, 2025
Cited by
PubMed Abstract: Until now, computationally designed enzymes exhibited low catalytic rates and required intensive experimental optimization to reach activity levels observed in comparable natural enzymes. These results exposed limitations in design methodology and suggested critical gaps in our understanding of the fundamentals of biocatalysis. We present a fully computational workflow for designing efficient enzymes in TIM-barrel folds using backbone fragments from natural proteins and without requiring optimization by mutant-library screening. Three Kemp eliminase designs exhibit efficiencies greater than 2,000 M s. The most efficient shows more than 140 mutations from any natural protein, including a novel active site. It exhibits high stability (greater than 85 °C) and remarkable catalytic efficiency (12,700 M s) and rate (2.8 s), surpassing previous computational designs by two orders of magnitude. Furthermore, designing a residue considered essential in all previous Kemp eliminase designs increases efficiency to more than 10 M s and rate to 30 s, achieving catalytic parameters comparable to natural enzymes and challenging fundamental biocatalytic assumptions. By overcoming limitations in design methodology, our strategy enables programming stable, high-efficiency, new-to-nature enzymes through a minimal experimental effort.
PubMed: 40533551
DOI: 10.1038/s41586-025-09136-2
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2 Å)
Structure validation

245663

數據於2025-12-03公開中

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