Literature DB >> 31863733

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

Naoya Matsumura1, Shun Hayashi2, Yoshiyuki Akiyama3, Asami Ono4, Satoko Funaki5, Naomi Tamura5, Takahiro Kimoto3, Maiko Jiko6, Yuka Haruna6, Akiko Sarashina7, Masahiro Ishida7, Kotaro Nishiyama8, Masahiro Fushimi9, Yukiko Kojima9, Kazuhiro Yoneda10, Misato Nakanishi10, Soonih Kim10, Takuya Fujita11, Kiyohiko Sugano12.   

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.
Copyright © 2020 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dissolution; oral absorption; permeability; simulation; solubility

Mesh:

Substances:

Year:  2019        PMID: 31863733     DOI: 10.1016/j.xphs.2019.12.009

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  4 in total

1.  Prediction of Oral Drug Absorption in Rats from In Vitro Data.

Authors:  Yoshiyuki Akiyama; Naoya Matsumura; Asami Ono; Shun Hayashi; Satoko Funaki; Naomi Tamura; Takahiro Kimoto; Maiko Jiko; Yuka Haruna; Akiko Sarashina; Masahiro Ishida; Kotaro Nishiyama; Masahiro Fushimi; Yukiko Kojima; Takuya Fujita; Kiyohiko Sugano
Journal:  Pharm Res       Date:  2022-02-15       Impact factor: 4.200

2.  In Vitro-In Silico Tools for Streamlined Development of Acalabrutinib Amorphous Solid Dispersion Tablets.

Authors:  Deanna M Mudie; Aaron M Stewart; Jesus A Rosales; Molly S Adam; Michael M Morgen; David T Vodak
Journal:  Pharmaceutics       Date:  2021-08-13       Impact factor: 6.321

3.  Lost in modelling and simulation?

Authors:  Kiyohiko Sugano
Journal:  ADMET DMPK       Date:  2021-03-22

Review 4.  The Segregated Intestinal Flow Model (SFM) for Drug Absorption and Drug Metabolism: Implications on Intestinal and Liver Metabolism and Drug-Drug Interactions.

Authors:  K Sandy Pang; H Benson Peng; Keumhan Noh
Journal:  Pharmaceutics       Date:  2020-04-01       Impact factor: 6.321

  4 in total

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