Abstract
A combined computational and experimental study has been carried out to explore and test a quantitative correlation relationship between the relative catalytic efficiency (RCE) of human butyrylcholinesrase (BChE) mutant-catalyzed hydrolysis of substrate (−)-cocaine and the total hydrogen bonding energy (tHBE) of the carbonyl oxygen of the substrate with the oxyanion hole of the enzyme in the modeled transition-state structure (TS1), demonstrating a satisfactory linear correlation relationship between ln(RCE) and tHBE. The satisfactory correlation relationship has led us to computationally predict and experimentally confirm new human BChE mutants that have a further improved catalytic activity against (−)-cocaine, including the most active one (the A199S/F227S/S287G/A328W/Y332G mutant) with a 2790-fold improved catalytic efficiency (kcat/KM = 2.5 × 109 min-1 M-1) compared to the wild-type human BChE. Compared to the reference mutant (the A199S/S287G/A328W/Y332G mutant) tested in the reported clinical development of an enzyme therapy for cocaine dependence treatment, this new mutant (with a newly predicted additional F227S mutation) has an improved catalytic efficiency against (−)-cocaine by ∼2.6-fold. The good agreement between the computational and experimental ln(RCE) values suggests that the obtained correlation relationship is robust for computational prediction. A similar correlation relationship could also be explored in studying BChE or other serine hydrolases/esterases with an oxyanion hole stabilizing the carbonyl oxygen in the rate-determining reaction step of the enzymatic hydrolysis of other substrates.
Original language | English |
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Pages (from-to) | 10723-10729 |
Number of pages | 7 |
Journal | Journal of Physical Chemistry B |
Volume | 127 |
Issue number | 50 |
DOIs | |
State | Published - Dec 21 2023 |
Bibliographical note
Publisher Copyright:© 2023 American Chemical Society.
Funding
This work was supported by the National Institutes of Health (NIH grants U01 DA051079, UG3 NS134920, UH2/UH3 DA041115, R01 DA056646, U18 DA052319, R01 DA035552, R01 DA032910, and R01 DA013930). The authors also acknowledge the Computer Center at University of Kentucky for supercomputing time on a Dell X-series Cluster with 384 nodes or 4,768 processors.
Funders | Funder number |
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National Institutes of Health (NIH) | R01 DA035552, R01 DA013930, U01 DA051079, UH2/UH3 DA041115, R01 DA056646, UG3 NS134920, R01 DA032910, U18 DA052319 |
ASJC Scopus subject areas
- Physical and Theoretical Chemistry
- Surfaces, Coatings and Films
- Materials Chemistry