Rough Set Theory as an Interpretable Method for Predicting the Inhibition of Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpretable Method for Predicting the Inhibition of Cytochrome P450 1A2 and 2D6.

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2013 nî lūn-bûn

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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Rough Set Theory as an Interpr ...... f Cytochrome P450 1A2 and 2D6.

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P1476

Rough Set Theory as an Interpr ...... of Cytochrome P450 1A2 and 2D6

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P2093

Daniel P Vercauteren

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Emeric Danloy

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Joachim Petit

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Julien Burton

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P2860

On Outliers and Activity Cliffs - Why QSAR Often Disappoints

ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage

Predicting in vivo drug interactions from in vitro drug discovery data.

Classification of highly unbalanced CYP450 data of drugs using cost sensitive machine learning techniques.

Use of robust classification techniques for the prediction of human cytochrome P450 2D6 inhibition.

Modeling of human cytochrome p450-mediated drug metabolism using unsupervised machine learning approach.

A rapid computational filter for cytochrome P450 1A2 inhibition potential of compound libraries.

Assessing potency of c-Jun N-terminal kinase 3 (JNK3) inhibitors using 2D molecular descriptors and binary QSAR methodology.

Reoptimization of MDL keys for use in drug discovery.

Machine learning algorithms for the prediction of hERG and CYP450 binding in drug development.

P304

579-589

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P31

scholarly article

P356

10.1002/MINF.201300009

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P433

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P478

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P50

Gerry M. Maggiora

P577

2013-07-08T00:00:00Z

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P698

27481766

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