Data set of fraction unbound values in the in vitro incubations for metabolic studies for better prediction of human clearance

Author:

Krumpholz Laura12ORCID,Klimczyk Aleksandra1,Bieniek Wiktoria1,Polak Sebastian34,Wiśniowska Barbara1ORCID

Affiliation:

1. Pharmacoepidemiology and Pharmacoeconomics Unit, Faculty of Pharmacy, Jagiellonian University Medical College , Medyczna 9, Street, Kraków 30-688, Poland

2. Doctoral School in Medical and Health Sciences, Jagiellonian University Medical College , Łazarza Street 16, Kraków 31-530, Poland

3. Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College , Medyczna 9, Street, Krakow 30-688, Poland

4. Certara UK Ltd (Simcyp Division) , 1 Concourse Way, Sheffield S1 2BJ, United Kingdom

Abstract

Abstract In vitro–in vivo extrapolation is a commonly applied technique for liver clearance prediction. Various in vitro models are available such as hepatocytes, human liver microsomes, or recombinant cytochromes P450. According to the free drug theory, only the unbound fraction (fu) of a chemical can undergo metabolic changes. Therefore, to ensure the reliability of predictions, both specific and nonspecific binding in the model should be accounted. However, the fraction unbound in the experiment is often not reported. The study aimed to provide a detailed repository of the literature data on the compound’s fu value in various in vitro systems used for drug metabolism evaluation and corresponding human plasma binding levels. Data on the free fraction in plasma and different in vitro models were supplemented with the following information: the experimental method used for the assessment of the degree of drug binding, protein or cell concentration in the incubation, and other experimental conditions, if different from the standard ones, species, reference to the source publication, and the author’s name and date of publication. In total, we collected 129 literature studies on 1425 different compounds. The provided data set can be used as a reference for scientists involved in pharmacokinetic/physiologically based pharmacokinetic modelling as well as researchers interested in Quantitative Structure-Activity Relationship models for the prediction of fraction unbound based on compound structure. Database URL: https://data.mendeley.com/datasets/3bs5526htd/1

Publisher

Oxford University Press (OUP)

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