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March 28, 20260 citationsOpen Access

Catalytic pKₐ Attenuation in a Hydrolytic Metalloenzyme by Genetic Code Expansion

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BMBenjamin P ManserUniversity of ZurichALAlexandria Deliz LiangUniversity of Zurich

Key Points

  • The study aimed to enhance the catalytic efficiency of a metalloenzyme by modifying its metal-coordination sphere through genetic code expansion.
  • Applied genetic code expansion to mutate a specific histidine residue in a model metalloenzyme.
  • Characterized enzyme yields and metal coordination ability for Zn2+ and Co2+.
  • Analyzed effects on catalytic pKa and rate constants under varying pH conditions.
  • Substitution of the histidine residue led to significantly improved enzyme yields.
  • The modified enzyme displayed enhanced metal coordination efficiency.
  • Up to a 5-fold increase in tolerance to acidic conditions was observed.
  • A systematic decrease in catalytic pKa was noted alongside changes in multiple rate constants.

Abstract

Hydrolytic metalloenzymes employ Lewis-acidic metal cofactors to activate water molecules, generating nucleophilic hydroxide species that facilitate catalysis. Their catalytic efficiency across a wide pH range is often governed by the protonation state of the metal-bound water, reflected in pKa values typically between 6.8 and 9. Modulating this parameter is key to expanding enzymatic activity for improved activity at neutral to acidic pH. Herein, we apply genetic code expansion to mutate the primary metal-coordination sphere of a model metallohydrolase: the dizinc phosphotriesterase from Pseudomonas diminuta. Substitution of the most catalytically indispensable coordinating histidine residue (H55) to Nπ-methyl-l-histidine (πMH) resulted in substantial enzyme yields, efficient metal coordination for either Zn2+ or Co2+, and up to 5-fold improved tolerance to acidic conditions. Detailed mechanistic analysis revealed a systematic decrease in catalytic pKa and attenuation of several catalytic rate constants. These results add to the growing body of evidence demonstrating the power of ncAA-based engineering for refined tuning of enzyme properties.

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Cite This Study

Manser et al. (2026) studied this question.

synapsesocial.com/papers/69c771518bbfbc51511e1420https://doi.org/10.5167/uzh-293123
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