Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345535 | Computer Methods and Programs in Biomedicine | 2014 | 10 Pages |
Abstract
In this paper a review of the application of four different techniques (a version of the similarity transformation approach for autonomous uncontrolled systems, a non-differential input/output observable normal form approach, the characteristic set differential algebra and a recent algebraic input/output relationship approach) to determine the structural identifiability of certain in vitro nonlinear pharmacokinetic models is provided. The Organic Anion Transporting Polypeptide (OATP) substrate, Pitavastatin, is used as a probe on freshly isolated animal and human hepatocytes. Candidate pharmacokinetic non-linear compartmental models have been derived to characterise the uptake process of Pitavastatin. As a prerequisite to parameter estimation, structural identifiability analyses are performed to establish that all unknown parameters can be identified from the experimental observations available.
Related Topics
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Authors
Thomas R.B. Grandjean, Michael J. Chappell, James W.T. Yates, Neil D. Evans,