Predicting metabolic stability of drug molecules

G - Physics – 06 – F

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G06F 17/50 (2006.01) C12Q 1/26 (2006.01) G01N 33/68 (2006.01) G06F 19/00 (2006.01)

Patent

CA 2440793

Methods are disclosed for developing models used to rapidly predict metabolic stability and regioselectivity of drug molecules. Training sets, based on a sample of molecules with known reaction rates and/or activation energies, are used along with structural descriptors of the molecules in order to develop mathematical models of metabolism based on regression analysis of the activation energies and descriptors. The resulting models are then used to predict the metabolism of other molecules. The invention is particularly useful in developing simple models of cytochrome p450 enzyme metabolism.

L'invention se rapporte à des procédés de développement de modèles utilisés dans la prédiction rapide de stabilité métabolique et dans la stéréosélectivité de molécules médicamenteuses. Des ensembles d'apprentissage fondés sur un échantillon de molécules présentant des taux de réaction et/ou des énergies d'activation, sont utilisés parallèlement avec des descripteurs structurels des molécules afin de développer des modèles mathématiques de métabolisme fondés sur l'analyse de régression des énergies d'activation et des descripteurs. Les modèles obtenus sont ensuite utilisés pour prédire le métabolisme d'autres molécules. Cette invention est particulièrement utile dans le développement de modèles simples du métabolisme de l'enzyme p450 cytochrome.

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