Literature DB >> 22394139

Mathematical simulations for bioanalytical assay development: the (un-)necessity and (im-)possibility of free drug quantification.

Roland F Staack1, Gregor Jordan, Julia Heinrich.   

Abstract

For every drug development program it needs to be discussed whether discrimination between free and total drug concentrations is required to accurately describe its pharmacokinetic behavior. This perspective describes the application of mathematical simulation approaches to guide this initial decision based on available knowledge about target biology, binding kinetics and expected drug concentrations. We provide generic calculations that can be used to estimate the necessity of free drug quantification for different drug molecules. In addition, mathematical approaches are used to simulate various assay conditions in bioanalytical ligand-binding assays: it is demonstrated that due to the noncovalent interaction between the binding partners and typical assay-related interferences in the equilibrium, a correct quantification of the free drug concentration is highly challenging and requires careful design of different assay procedure steps.

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Year:  2012        PMID: 22394139     DOI: 10.4155/bio.11.321

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  2 in total

1.  Workshop Report: AAPS Workshop on Method Development, Validation, and Troubleshooting of Ligand-Binding Assays in the Regulated Environment.

Authors:  Marian Kelley; Lauren Stevenson; Michaela Golob; Viswanath Devanarayan; Joao Pedras-Vasconcelos; Roland F Staack; Rand Jenkins; Brian Booth; Eric Wakshull; Ronald Bowsher; Marie Rock; Sherri Dudal; Binodh DeSilva
Journal:  AAPS J       Date:  2015-04-30       Impact factor: 4.009

2.  Quantitative analysis of target coverage and germinal center response by a CXCL13 neutralizing antibody in a T-dependent mouse immunization model.

Authors:  Joanne Brodfuehrer; Andrew Rankin; Jason Edmonds; Sean Keegan; Tatyana Andreyeva; Rosemary Lawrence-Henderson; Josef Ozer; Huilan Gao; Laird Bloom; Angela Boisvert; Khetemenee Lam; Julie Lee; Timothy LaBranche; Jameel Syed; Wenyan Miao; Pratap Singh
Journal:  Pharm Res       Date:  2013-11-05       Impact factor: 4.200

  2 in total

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