Unknown

Dataset Information

0

Drug Distribution Part 2. Predicting Volume of Distribution from Plasma Protein Binding and Membrane Partitioning.


ABSTRACT: Volume of distribution is an important pharmacokinetic parameter in the distribution and half-life of a drug. Protein binding and lipid partitioning together determine drug distribution.Here we present a simple relationship that estimates the volume of distribution with the fraction of drug unbound in both plasma and microsomes. Model equations are based upon a two-compartment system and the experimental fractions unbound in plasma and microsomes represent binding to plasma proteins and cellular lipids, respectively.The protein and lipid binding components were parameterized using a dataset containing human in vitro and in vivo parameters for 63 drugs. The resulting equation explains ~84% of the variance in the log of the volume of distribution with an average fold-error of 1.6, with 3 outliers.These results suggest that Vss can be predicted for most drugs from plasma protein binding and microsomal partitioning.

SUBMITTER: Korzekwa K 

PROVIDER: S-EPMC5285473 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Drug Distribution Part 2. Predicting Volume of Distribution from Plasma Protein Binding and Membrane Partitioning.

Korzekwa Ken K   Nagar Swati S  

Pharmaceutical research 20161213 3


<h4>Purpose</h4>Volume of distribution is an important pharmacokinetic parameter in the distribution and half-life of a drug. Protein binding and lipid partitioning together determine drug distribution.<h4>Methods</h4>Here we present a simple relationship that estimates the volume of distribution with the fraction of drug unbound in both plasma and microsomes. Model equations are based upon a two-compartment system and the experimental fractions unbound in plasma and microsomes represent binding  ...[more]

Similar Datasets

| S-EPMC5588161 | biostudies-literature
| S-EPMC2761413 | biostudies-literature
| S-EPMC2908281 | biostudies-literature
| S-EPMC6368448 | biostudies-literature
| S-EPMC9747601 | biostudies-literature
| S-EPMC10547480 | biostudies-literature
| S-EPMC3853087 | biostudies-other
| S-EPMC4457494 | biostudies-literature
| S-EPMC7372772 | biostudies-literature
| S-EPMC4023864 | biostudies-literature