Literature DB >> 10470025

Absorption prediction from physicochemical parameters.

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Abstract

Modern drug design not only focuses on the pharmacological activity of a compound but also considers its ability to be absorbed and to reach its site of action. The prediction of in vivo barrier permeabilities, particularly intestinal absorption and blood-brain barrier passage, are substantial concerns in the development of new drug compounds. For several decades, n-octanol-water partition coefficients dominated absorption prediction. In recent years, the basic physicochemical parameters describing both membrane permeability and lipophilicity have been established. This review provides an outline of some selected absorption-prediction models with emphasis on intestinal absorption.

Entities:  

Year:  1999        PMID: 10470025     DOI: 10.1016/s1461-5347(99)00188-1

Source DB:  PubMed          Journal:  Pharm Sci Technolo Today        ISSN: 1461-5347


  14 in total

1.  Rate-limited steps of human oral absorption and QSAR studies.

Authors:  Yuan H Zhao; Michael H Abraham; Joelle Le; Anne Hersey; Chris N Luscombe; Gordon Beck; Brad Sherborne; Ian Cooper
Journal:  Pharm Res       Date:  2002-10       Impact factor: 4.200

Review 2.  Theoretical predictions of drug absorption in drug discovery and development.

Authors:  Patric Stenberg; Christel A S Bergström; Kristina Luthman; Per Artursson
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

3.  Prediction of blood-brain barrier permeation using quantum chemically derived information.

Authors:  Michael C Hutter
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

4.  Rapid experimental measurements of physicochemical properties to inform models and testing.

Authors:  Chantel I Nicolas; Kamel Mansouri; Katherine A Phillips; Christopher M Grulke; Ann M Richard; Antony J Williams; James Rabinowitz; Kristin K Isaacs; Alice Yau; John F Wambaugh
Journal:  Sci Total Environ       Date:  2018-05-02       Impact factor: 7.963

Review 5.  In vitro-in vivo correlation: perspectives on model development.

Authors:  Ying Lu; Sungwon Kim; Kinam Park
Journal:  Int J Pharm       Date:  2011-01-13       Impact factor: 5.875

6.  Multilamellar liposomes and solid-supported lipid membranes (TRANSIL): screening of lipid-water partitioning toward a high-throughput scale.

Authors:  A Loidl-Stahlhofen; T Hartmann; M Schöttner; C Röhring; H Brodowsky; J Schmitt; J Keldenich
Journal:  Pharm Res       Date:  2001-12       Impact factor: 4.200

7.  Applying Biopharmaceutical Classification System (BCS) Criteria to Predict Oral Absorption of Drugs in Dogs: Challenges and Pitfalls.

Authors:  Mark G Papich; Marilyn N Martinez
Journal:  AAPS J       Date:  2015-04-29       Impact factor: 4.009

8.  Lipid Nanosystems and Serum Protein as Biomimetic Interfaces: Predicting the Biodistribution of a Caffeic Acid-Based Antioxidant.

Authors:  Eduarda Fernandes; Sofia Benfeito; Fernando Cagide; Hugo Gonçalves; Sigrid Bernstorff; Jana B Nieder; M Elisabete Cd Real Oliveira; Fernanda Borges; Marlene Lúcio
Journal:  Nanotechnol Sci Appl       Date:  2021-02-09

9.  Quantitation of small intestinal permeability during normal human drug absorption.

Authors:  David G Levitt
Journal:  BMC Pharmacol Toxicol       Date:  2013-06-24       Impact factor: 2.483

10.  Engineering and validation of a novel lipid thin film for biomembrane modeling in lipophilicity determination of drugs and xenobiotics.

Authors:  Sunday Olakunle Idowu; Morenikeji Ambali Adeyemo; Udochi Ihechiluru Ogbonna
Journal:  J Biol Eng       Date:  2009-09-07       Impact factor: 4.355

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