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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Pharmaceu...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Pharmaceutical Sciences
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Plasma Protein Binding of Challenging Compounds

Authors: Keith, Riccardi; Shannon, Cawley; Phillip D, Yates; Cheng, Chang; Carrie, Funk; Mark, Niosi; Jian, Lin; +1 Authors

Plasma Protein Binding of Challenging Compounds

Abstract

Accurately determining fraction unbound (fu ) with currently available methods has been challenging for certain compounds. Inaccurate fu values can lead to the misinterpretation of important attributes of a drug candidate. Our analysis of over 2000 Pfizer drug discovery compounds showed no systematic bias in low or high fu precision using the equilibrium dialysis method. However, the accuracy of the plasma protein binding (PPB) estimate for highly bound compounds may be poor, should equilibrium not be fully achieved in the equilibrium dialysis assay. Here, a dilution method and a presaturation method were applied to accelerate equilibration for a set of challenging compounds. These improved methods demonstrate the ability to provide an accurate measurement of PPB for highly bound compounds with fu values much less than 1%. Therefore, we recommend that the actual experimental fu value be used for the prediction of drug-drug interaction potential and for the characterization of important drug candidate properties. Our recommendation calls into question the need for current regulatory guidelines that restrict the reporting of fu values below 1%.

Related Organizations
Keywords

Male, Drug Evaluation, Preclinical, Reproducibility of Results, Blood Proteins, Models, Biological, Rats, Small Molecule Libraries, Kinetics, Macaca fascicularis, Mice, Dogs, Drug Stability, Solubility, Animals, Humans, Drug Interactions, Female, Dialysis, Hydrophobic and Hydrophilic Interactions, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
103
Top 1%
Top 10%
Top 10%
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