Unknown

Dataset Information

0

Getting the MAX out of Computational Models: The Prediction of Unbound-Brain and Unbound-Plasma Maximum Concentrations.


ABSTRACT: The objective of this work was to establish that unbound maximum concentrations may be reasonably predicted from a combination of computed molecular properties assuming subcutaneous (SQ) dosing. Additionally, we show that the maximum unbound plasma and brain concentrations may be projected from a mixture of in vitro absorption, distribution, metabolism, excretion experimental parameters in combination with computed properties (volume of distribution, fraction unbound in microsomes). Finally, we demonstrate the utility of the underlying equations by showing that the maximum total plasma concentrations can be projected from the experimental parameters for a set of compounds with data collected from clinical research.

SUBMITTER: Mente S 

PROVIDER: S-EPMC4025848 | biostudies-other | 2012 Jun

REPOSITORIES: biostudies-other

altmetric image

Publications

Getting the MAX out of Computational Models: The Prediction of Unbound-Brain and Unbound-Plasma Maximum Concentrations.

Mente Scot S   Doran Angela A   Wager Travis T TT  

ACS medicinal chemistry letters 20120516 6


The objective of this work was to establish that unbound maximum concentrations may be reasonably predicted from a combination of computed molecular properties assuming subcutaneous (SQ) dosing. Additionally, we show that the maximum unbound plasma and brain concentrations may be projected from a mixture of in vitro absorption, distribution, metabolism, excretion experimental parameters in combination with computed properties (volume of distribution, fraction unbound in microsomes). Finally, we  ...[more]

Similar Datasets

2024-08-14 | PXD047857 | Pride
| S-EPMC6426260 | biostudies-literature
| S-TOXR904 | biostudies-other
| S-EPMC9731899 | biostudies-literature
| S-EPMC5335587 | biostudies-literature
| S-EPMC10824297 | biostudies-literature
| S-EPMC4631466 | biostudies-literature
| S-EPMC8163125 | biostudies-literature
| S-EPMC8445473 | biostudies-literature
| S-EPMC6712123 | biostudies-literature