Literature DB >> 14697791

Relationships between structure and high-throughput screening permeability of peptide derivatives and related compounds with artificial membranes: application to prediction of Caco-2 cell permeability.

Rieko Ano1, Yukitaka Kimura, Motohiro Shima, Ryuichi Matsuno, Tamio Ueno, Miki Akamatsu.   

Abstract

To evaluate absorption of compounds across the membrane via a transcellular route, the permeability of peptide derivatives and related compounds was measured by the parallel artificial membrane permeation assay (PAMPA). The permeability coefficients by PAMPA were analyzed quantitatively using classical QSAR and Volsurf approaches with the physicochemical parameters. The results from both approaches showed that hydrogen bonding ability of molecules in addition to hydrophobicity at a particular pH were significant in determining variations in PAMPA permeability coefficients. The relationship between Caco-2 cell permeability and artificial lipid membrane permeability was then determined. The compounds were sorted according to their absorption pathway in the plot of the Caco-2 cell and PAMPA permeability coefficients.

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Year:  2004        PMID: 14697791     DOI: 10.1016/j.bmc.2003.10.002

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  20 in total

Review 1.  Coexistence of passive and carrier-mediated processes in drug transport.

Authors:  Kiyohiko Sugano; Manfred Kansy; Per Artursson; Alex Avdeef; Stefanie Bendels; Li Di; Gerhard F Ecker; Bernard Faller; Holger Fischer; Grégori Gerebtzoff; Hans Lennernaes; Frank Senner
Journal:  Nat Rev Drug Discov       Date:  2010-08       Impact factor: 84.694

Review 2.  Current industrial practices of assessing permeability and P-glycoprotein interaction.

Authors:  Praveen V Balimane; Yong-Hae Han; Saeho Chong
Journal:  AAPS J       Date:  2006-01-13       Impact factor: 4.009

3.  Unassisted transport of N-acetyl-L-tryptophanamide through membrane: experiment and simulation of kinetics.

Authors:  Alfredo E Cardenas; Gouri S Jas; Kristine Y DeLeon; Wendy A Hegefeld; Krzysztof Kuczera; Ron Elber
Journal:  J Phys Chem B       Date:  2012-02-22       Impact factor: 2.991

4.  An atomistic model of passive membrane permeability: application to a series of FDA approved drugs.

Authors:  Chakrapani Kalyanaraman; Matthew P Jacobson
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

5.  QSAR application for the prediction of compound permeability with in silico descriptors in practical use.

Authors:  Kazuya Nakao; Masaaki Fujikawa; Ryo Shimizu; Miki Akamatsu
Journal:  J Comput Aided Mol Des       Date:  2009-02-25       Impact factor: 3.686

Review 6.  Strategic approaches to optimizing peptide ADME properties.

Authors:  Li Di
Journal:  AAPS J       Date:  2014-11-04       Impact factor: 4.009

Review 7.  Back to the future: can physical models of passive membrane permeability help reduce drug candidate attrition and move us beyond QSPR?

Authors:  Robert V Swift; Rommie E Amaro
Journal:  Chem Biol Drug Des       Date:  2013-01       Impact factor: 2.817

8.  Systems pharmacology dissection of the anti-inflammatory mechanism for the medicinal herb Folium eriobotryae.

Authors:  Jingxiao Zhang; Yan Li; Su-Shing Chen; Lilei Zhang; Jinghui Wang; Yinfeng Yang; Shuwei Zhang; Yanqiu Pan; Yonghua Wang; Ling Yang
Journal:  Int J Mol Sci       Date:  2015-01-28       Impact factor: 5.923

9.  Uncovering the Pharmacological Mechanism of Astragalus Salvia Compound on Pregnancy-Induced Hypertension Syndrome by a Network Pharmacology Approach.

Authors:  Liuting Zeng; Kailin Yang; Jinwen Ge
Journal:  Sci Rep       Date:  2017-12-04       Impact factor: 4.379

10.  Exploring the Regulatory Mechanism of Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury's Biological Network Based on Systematic Pharmacology.

Authors:  Kailin Yang; Liuting Zeng; Anqi Ge; Yi Chen; Shanshan Wang; Xiaofei Zhu; Jinwen Ge
Journal:  Front Pharmacol       Date:  2021-06-25       Impact factor: 5.810

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