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Analysis of electrostatic coupling throughout the laboratory evolution of a designed retroaldolase

  • Timothy A. Coulther
  • , Moritz Pott
  • , Cathleen Zeymer
  • , Donald Hilvert
  • , Mary Jo Ondrechen
  • Northeastern University
  • University of California, Davis
  • ETH Zurich

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The roles of local interactions in the laboratory evolution of a highly active, computationally designed retroaldolase (RA) are examined. Partial Order Optimum Likelihood (POOL) is used to identify catalytically important amino acid interactions in several RA95 enzyme variants. The series RA95.5, RA95.5–5, RA95.5–8, and RA95.5–8F, representing progress along an evolutionary trajectory with increasing activity, is examined. Computed measures of coupling between charged states of residues show that, as evolution proceeds and higher activities are achieved, electrostatic coupling between the biochemically active amino acids and other residues is increased. In silico residue scanning suggests multiple coupling partners for the catalytic lysine K83. The effects of two predicted partners, Y51 and E85, are tested using site-directed mutagenesis and kinetic analysis of the variants Y51F and E85Q. The Y51F variants show decreases in kcat relative to wild type, with the greatest losses observed for the more evolved constructs; they also exhibit significant decreases in kcat/KM across the series. Only modest decreases in kcat/KM are observed for the E85Q variants with little effect on kcat. Computed metrics of the degree of coupling between protonation states rise significantly as evolution proceeds and catalytic turnover rate increases. Specifically, the charge state of the catalytic lysine K83 becomes more strongly coupled to those of other amino acids as the enzyme evolves to a better catalyst.

Original languageEnglish
Pages (from-to)1617-1627
Number of pages11
JournalProtein Science
Volume30
Issue number8
DOIs
StatePublished - Aug 2021

Keywords

  • enzyme design
  • kinetics
  • partial order optimum likelihood
  • protein electrostatics
  • protonation states
  • retroaldolases
  • site-directed mutagenesis

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