Literature DB >> 19429288

Theoretical investigation of passive intestinal membrane permeability using Monte Carlo method to generate drug-like molecule population.

Kiyohiko Sugano1.   

Abstract

The purpose of the present study was to investigate the effect of the physiological and morphological differences between in vivo and in vitro systems on the estimation of in vivo effective intestinal membrane permeability (P(eff)) from in vitro permeability data (P(ivt,app)). Five hundred virtual drug-like compounds were generated using Monte Carlo method based on the distribution of octanol water partition coefficient, molecular weight, and pK(a). In vivo and in vitro membrane permeability was theoretically calculated from these parameters considering the transcellular, paracellular and unstirred water layer (UWL) permeation. More than 50% of drug-like compounds showed high P(eff) values. When the same pH value was used for in vivo and in vitro, the scattering of the P(ivt,app)-P(eff) plot was small, whereas it was large when different pH values were used. However, the extent of discrepancy depended on the physicochemical properties and permeation characteristics of a drug. When the pH effect was directly corrected on the P(eff) value, paracellular and UWL permeability was inappropriately corrected since the pH partition theory is only applicable for transcellular permeation. In vivo species differences of P(eff) and the fraction of a dose absorbed (Fa%) was also investigated for humans, rats and dogs. In conclusion, P(eff) estimation from in vitro data should be based on the theoretical method rather than simple linear regression.

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Year:  2009        PMID: 19429288     DOI: 10.1016/j.ijpharm.2009.02.002

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  6 in total

Review 1.  Crystalline nanosuspensions as potential toxicology and clinical oral formulations for BCS II/IV compounds.

Authors:  Filippos Kesisoglou; Amitava Mitra
Journal:  AAPS J       Date:  2012-06-27       Impact factor: 4.009

2.  A Mechanistic Absorption and Disposition Model of Ritonavir to Predict Exposure and Drug-Drug Interaction Potential of CYP3A4/5 and CYP2D6 Substrates.

Authors:  Sumit Arora; Amita Pansari; Peter J Kilford; Masoud Jamei; David B Turner; Iain Gardner
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-04-29       Impact factor: 2.441

3.  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

4.  Mechanistic analysis of solute transport in an in vitro physiological two-phase dissolution apparatus.

Authors:  Deanna M Mudie; Yi Shi; Haili Ping; Ping Gao; Gordon L Amidon; Gregory E Amidon
Journal:  Biopharm Drug Dispos       Date:  2012-09-04       Impact factor: 1.627

5.  Physiologically Based Biopharmaceutics Modeling of Regional and Colon Absorption in Dogs.

Authors:  Emma Eckernäs; Christer Tannergren
Journal:  Mol Pharm       Date:  2021-03-15       Impact factor: 4.939

6.  Lost in modelling and simulation?

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

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