Kinetic values for mechanism-based enzyme inhibition: assessing the bias introduced by the conventional experimental

Jiansong Yang1, Masoud Jamei, Karen Rowland Yeo

  • 1Academic Unit of Clinical Pharmacology, Pharmacokinetics and Pharmacogenetics Group, University of Sheffield, Sheffield, UK. J.Yang@simcyp.com

Insights

Conventional experimental protocols for mechanism-based enzyme inactivators (MBEI) can introduce significant bias in kinetic parameter estimation. This study reveals that assumptions in these protocols may lead to questionable kinetic values, impacting drug development.

Area of Science:

  • Biochemistry
  • Enzyme kinetics
  • Drug discovery

Background:

  • Mechanism-based enzyme inactivators (MBEIs) are crucial in drug development.
  • Standard methods for characterizing MBEIs rely on assumptions about metabolism and inactivation stages.
  • Potential biases in these assumptions can affect the accuracy of kinetic parameter determination.

Purpose of the Study:

  • To evaluate the bias in estimating kinetic values (k(inact), K(I), r) using conventional experimental protocols (CEPs).
  • To assess the impact of MBEI metabolism and enzyme inactivation on kinetic parameter accuracy.

Main Methods:

  • Collated kinetic values for reported MBEIs.
  • Generated data for 27 virtual compounds.
  • Simulated kinetics of virtual and actual MBEIs under CEP, considering metabolism and inactivation.
  • Quantified bias between estimated and true kinetic values.

Main Results:

  • 19% of estimated kinetic values for virtual MBEIs showed over 100% bias.
  • Bias in k(inact) and K(I) for actual MBEIs varied, with some exceeding 98% and 300% respectively.
  • CEPs can introduce substantial bias, even under stringent simulation conditions.

Conclusions:

  • Conventional experimental protocols may yield inaccurate kinetic parameters for MBEIs.
  • The validity of previously reported kinetic values determined by CEPs could be questionable.
  • Further refinement of experimental protocols is needed for reliable MBEI characterization.

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