Optimum design of experiments for enzyme inhibition kinetic models

J Biopharm Stat. 2011 May;21(3):555-72. doi: 10.1080/10543406.2010.489979.

Abstract

We find closed-form expressions for the D-optimum designs for three- and four-parameter nonlinear models arising in kinetic models for enzyme inhibition. We calculate the efficiency of designs over a range of parameter values and make recommendations for design when the parameter values are not well known. In a three-parameter experimental example, a standard design has an efficiency of 18.2% of the D-optimum design. Experimental results from a standard design with 120 trials and a D-optimum design with 21 trials give parameter estimates that are in close agreement. The estimated standard errors of these parameter estimates confirm our theoretical results on efficiency and thus on the serious savings that can be made by the use of D-optimum designs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antitussive Agents / metabolism
  • Clinical Trials as Topic
  • Computer Simulation*
  • Cytochrome P-450 Enzyme Inhibitors*
  • Cytochrome P-450 Enzyme System / metabolism*
  • Dextromethorphan / metabolism*
  • Enzyme Inhibitors / metabolism*
  • Enzyme Inhibitors / pharmacology*
  • Humans
  • Models, Biological
  • Models, Statistical*
  • Nonlinear Dynamics*
  • Research Design / statistics & numerical data*
  • Selective Serotonin Reuptake Inhibitors / metabolism
  • Sertraline / metabolism

Substances

  • Antitussive Agents
  • Cytochrome P-450 Enzyme Inhibitors
  • Enzyme Inhibitors
  • Serotonin Uptake Inhibitors
  • Dextromethorphan
  • Cytochrome P-450 Enzyme System
  • Sertraline