Literature DB >> 10485083

Note: caution in use of empirical equations for pharmacodynamic indirect response models.

W Krzyzanski1, W J Jusko.   

Abstract

An empirical equation was recently proposed and used to characterize inhibitory drug effects on production of an endogenous substance. The limitations of this empirical equation are described utilizing mathematical equations and simulations based on the exact differential equation for Indirect Response Model I. The latter is preferable for fitting data using indirect response models.

Mesh：

Year:  1998        PMID： 10485083     DOI： 10.1023/a:1020707208521

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN： 0090-466X


  5 in total

1.  Mathematical formalism for the properties of four basic models of indirect pharmacodynamic responses.

Authors:  W Krzyzanski; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1997-02

2.  Comparison of four basic models of indirect pharmacodynamic responses.

Authors:  N L Dayneka; V Garg; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1993-08

3.  A program package for simulation and parameter estimation in pharmacokinetic systems.

Authors:  D Z D'Argenio; A Schumitzky
Journal:  Comput Programs Biomed       Date:  1979-03

4.  Physiological indirect effect modeling of the antilipolytic effects of adenosine A1-receptor agonists.

Authors:  E A van Schaick; H J de Greef; A P Ijzerman; M Danhof
Journal:  J Pharmacokinet Biopharm       Date:  1997-12

5.  Pharmacokinetics and pharmacodynamic modeling of direct suppression effects of methylprednisolone on serum cortisol and blood histamine in human subjects.

Authors:  A N Kong; E A Ludwig; R L Slaughter; P M DiStefano; J DeMasi; E Middleton; W J Jusko
Journal:  Clin Pharmacol Ther       Date:  1989-12       Impact factor: 6.875
  5 in total
  2 in total

1.  Performance and robustness of the Monte Carlo importance sampling algorithm using parallelized S-ADAPT for basic and complex mechanistic models.

Authors:  Jurgen B Bulitta; Cornelia B Landersdorfer
Journal:  AAPS J       Date:  2011-03-04       Impact factor: 4.009

Review 2.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447
  2 in total

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