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Prediction Characteristics of Oral Absorption Simulation Software Evaluated Using Structurally Diverse Low-Solubility Drugs.

Authors :
Matsumura, Naoya
Hayashi, Shun
Akiyama, Yoshiyuki
Ono, Asami
Funaki, Satoko
Tamura, Naomi
Kimoto, Takahiro
Jiko, Maiko
Haruna, Yuka
Sarashina, Akiko
Ishida, Masahiro
Nishiyama, Kotaro
Fushimi, Masahiro
Kojima, Yukiko
Yoneda, Kazuhiro
Nakanishi, Misato
Kim, Soonih
Fujita, Takuya
Sugano, Kiyohiko
Source :
Journal of Pharmaceutical Sciences. Mar2020, Vol. 109 Issue 3, p1403-1416. 14p.
Publication Year :
2020

Abstract

The purpose of the present study was to characterize current biopharmaceutics modeling and simulation software regarding the prediction of the fraction of a dose absorbed (Fa) in humans. As commercial software products, GastroPlus™ and Simcyp® were used. In addition, the gastrointestinal unified theoretical framework, a simple and publicly accessible model, was used as a benchmark. The Fa prediction characteristics for a total of 96 clinical Fa data of 27 model drugs were systematically evaluated using the default settings of each software product. The molecular weight, dissociation constant, octanol-water partition coefficient, solubility in biorelevant media, dose, and particle size of model drugs were used as input data. Although the same input parameters were used, GastroPlus™, Simcyp®, and the gastrointestinal unified theoretical framework showed different Fa prediction characteristics depending on the rate-limiting steps of oral drug absorption. The results of the present study would be of great help for the overall progression of physiologically based absorption models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223549
Volume :
109
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Pharmaceutical Sciences
Publication Type :
Academic Journal
Accession number :
141842624
Full Text :
https://doi.org/10.1016/j.xphs.2019.12.009