Literature DB >> 16182478

Predicting permeability coefficient in ADMET evaluation by using different membranes-interaction QSAR.

Jianzhong Liu1, Yi Li, Dahua Pan, Anton J Hopfinger.   

Abstract

Membrane-interaction quantitative structure activity relationship (MI-QSAR) analysis was applied to a data set with 18 compounds in 18 different membranes. MI-QSAR was used to estimate the ADMET properties including the transport of organic solutes through biological membranes. The most important descriptors are the aqueous solvation free energy, FH2O, and diffusion coefficient for all membranes. The correlation coefficient, r2, and cross-validation correlation coefficient, q2, for DMPG membrane is 0.850 and 0.770, respectively. The relationship between FH2O and permeability is nonlinear. But the detail effect of aqueous solvation free energy and diffusion coefficient to the permeability depends on the type of membrane. The final models also support the solution-diffusion mechanism of transport is important in membrane.

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Year:  2005        PMID: 16182478     DOI: 10.1016/j.ijpharm.2005.08.003

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


  3 in total

1.  Insights into the permeability of drugs and drug-like molecules from MI-QSAR and HQSAR studies.

Authors:  Ranajit N Shinde; K Srikanth; M Elizabeth Sobhia
Journal:  J Mol Model       Date:  2011-06-03       Impact factor: 1.810

2.  Testing physical models of passive membrane permeation.

Authors:  Siegfried S F Leung; Jona Mijalkovic; Kenneth Borrelli; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2012-05-24       Impact factor: 4.956

3.  Physics-Based Method for Modeling Passive Membrane Permeability and Translocation Pathways of Bioactive Molecules.

Authors:  Andrei L Lomize; Irina D Pogozheva
Journal:  J Chem Inf Model       Date:  2019-07-01       Impact factor: 4.956

  3 in total

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