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Oja, M.; Maran, U. The permeability of artificial membrane for the wide range of pH in human gastrointestinal tract: experimental measurements and quantitative structure-activity relationship. Mol. Inf. 2015, 34, 493–506.

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Oja, M.; Maran, U. The permeability of artificial membrane for the wide range of pH in human gastrointestinal tract: experimental measurements and quantitative structure-activity relationship. Mol. Inf. 2015, 34, 493–506.

QDB archive DOI: 10.15152/QDB.137   DOWNLOAD

QsarDB content

Property logPeff: Highest logarithmic effective membrane permeability for pH range 3 to 9 [log(cm/s)] i

Compounds: 73 | Models: 1 | Predictions: 3

Eq4: QSAR model for permeability of drugs and drug-like compounds

Regression model (regression)

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Name Type n

R2

σ

Training set training 44 0.825 0.451
Validation set external validation 14 0.620 0.615
External validation set external validation 15 0.663 0.555

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Title: Oja, M.; Maran, U. The permeability of artificial membrane for the wide range of pH in human gastrointestinal tract: experimental measurements and quantitative structure-activity relationship. Mol. Inf. 2015, 34, 493–506.
Abstract: In silico models for membrane permeability have been based on values measured for single pH. Depending on the diet (fasted/fed state) and part of human intestinal the range of pH varies approximately from 2.4 to 8.0. This motivated to study and model membrane permeability of chemicals considering range of pH in the human intestinal. For this effective membrane permeability values were measured for 65 drugs and drug-like compounds using parallel artificial membrane permeability assay (PAMPA) at four pH-s (3, 5, 7.4 and 9) over 48 hours, introducing technological innovations for the time-dependence measurement. The highest permeability value of compound from four pH-s was used to derive quantitative structure-activity relationship (QSAR) analyzing large pool of molecular descriptors and introducing one new descriptor. Using stepwise forward selection approach significant QSAR model was derived that included only two mechanistically relevant descriptors, the logarithmic octanol-water partition coefficient and hydrogen bonding surface area. Prediction confidence of the model was blind tested (first predicted and then measured) with true external validation set of 15 compounds. Resulting QSAR model shows potential to combine permeability values from various pH-s to one descriptive and predictive model for estimating maximum permeability in human intestinal. QSAR model and underlined data in the manuscript is available on-line through QsarDB repository.
URI: http://hdl.handle.net/10967/137
http://dx.doi.org/10.15152/QDB.137
Date: 2015-02-26


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