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Oja, M.; Maran, U. Quantitative structure-permeability relationships at various pH values for acidic and basic drugs and drug-like compounds. SAR QSAR Environ. Res. 2015, 26, 701-719.

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Oja, M.; Maran, U. Quantitative structure-permeability relationships at various pH values for acidic and basic drugs and drug-like compounds. SAR QSAR Environ. Res. 2015, 26, 701-719.

QDB archive DOI: 10.15152/QDB.166   DOWNLOAD

QsarDB content

Property logPeff_pH3: Logarithmic effective membrane permeability at pH 3 [log(cm/s)]

Compounds: 36 | Models: 1 | Predictions: 2

Eq.4: QSAR model for membrane permeability of acidic compounds at pH 3

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 28 0.847 0.490
Validation set external validation 8 0.306 0.997

Property logPeff_pH5: Logarithmic effective membrane permeability at pH 5 [log(cm/s)]

Compounds: 36 | Models: 1 | Predictions: 2

Eq.5: QSAR model for membrane permeability of acidic compounds at pH 5

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 28 0.802 0.534
Validation set external validation 8 0.639 0.652

Property logPeff_pH7.4: Logarithmic effective membrane permeability at pH 7.4 [log(cm/s)]

Compounds: 61 | Models: 1 | Predictions: 2

Eq.11: QSAR model for membrane permeability of basic compounds at pH 7.4

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 46 0.704 0.507
Validation set external validation 15 0.721 0.507

Property logPeff_pH9: Logarithmic effective membrane permeability at pH 9 [log(cm/s)]

Compounds: 61 | Models: 1 | Predictions: 2

Eq.12: QSAR model for membrane permeability of basic compounds at pH 9

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 46 0.759 0.451
Validation set external validation 15 0.849 0.361

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Title: Oja, M.; Maran, U. Quantitative structure-permeability relationships at various pH values for acidic and basic drugs and drug-like compounds. SAR QSAR Environ. Res. 2015, 26, 701-719.
Abstract: Absorption in gastrointestinal tract compartments varies and is largely influenced by pH. Therefore, considering pH in studies and analyses of membrane permeability provides an opportunity to gain a better understanding of the behaviour of compounds and obtain good permeability estimates for prediction purposes. This study concentrates on relationships between the chemical structure and membrane permeability of acidic and basic drugs and drug-like compounds. The membrane permeability of 36 acidic and 61 basic compounds was measured using the parallel artificial membrane permeability assay (PAMPA) at pH 3, 5, 7.4 and 9. Descriptive and/or predictive single-parameter quantitative structure-permeability relationships were derived for all pH values. For acidic compounds, membrane permeability is mainly influenced by hydrogen bond donor properties, as revealed by models with R2 > 0.8 for pHs 3 and 5. For basic compounds, the best (R2 > 0.7) structure-permeability relationships are obtained with the octanol-water distribution coefficient for pHs 7.4 and 9, indicating the importance of partition properties. In addition to the validation set, the prediction quality of the developed models was tested with folic acid and astemizole, showing good matches between experimental and calculated membrane permeabilities at key pHs. Selected QSAR models are available at the QsarDB repository.
URI: http://hdl.handle.net/10967/166
http://dx.doi.org/10.15152/QDB.166
Date: 2015-08-17


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