Structural identifiability analyses of candidate models for in vitro Pitavastatin hepatic uptake

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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.

Item Type: Journal Article
Subjects: Q Science > QH Natural history > QH301 Biology
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Liver cells, Cell metabolism, Drugs -- Metabolism -- Evaluation, Algebra
Journal or Publication Title: Computer Methods and Programs in Biomedicine
Publisher: Elsevier Ireland Ltd.
ISSN: 0169-2607
Official Date: May 2014
Dates:
Date
Event
May 2014
Published
Volume: Volume 114
Number: Number 3
Page Range: e60-e69
DOI: 10.1016/j.cmpb.2013.06.013
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons open licence)
Date of first compliant deposit: 26 December 2015
Date of first compliant Open Access: 26 December 2015
Funder: Medical Research Council (Great Britain) (MRC), AstraZeneca (Firm)
URI: https://wrap.warwick.ac.uk/59157/

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