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Computational Prediction of Oral Drug Absorption Based on Absorption Rate Constants in Humans

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Department of Pharmaceutics, University of Kuopio, P.O. Box 1627, FIN-70211 Kuopio, Finland, Drug Discovery and Development Technology Center, University of Helsinki, P.O. Box 56, FIN-00014 Helsinki, Finland, and Orion Pharma, Drug Discovery and Development, Physical Chemistry & Pharmacokinetic Simulations, P.O. Box 65, FIN-02101 Espoo, Finland
Cite this: J. Med. Chem. 2006, 49, 12, 3674–3681
Publication Date (Web):May 13, 2006
Copyright © 2006 American Chemical Society

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    Models for predicting oral drug absorption kinetics were developed by correlating absorption rate constants in humans (Ka) with computational molecular descriptors. The Ka values of a set of 22 passively absorbed drugs were derived from human plasma time−concentration profiles using a deconvolution approach. The Ka values correlated well with experimental values of fraction of dose absorbed in humans (FA), better than the values of human jejunal permeability (Peff) which have previously been used to assess the in vivo absorption kinetics of drugs. The relationships between the Ka values of the 22 structurally diverse drugs and computational molecular descriptors were established with PLS analysis. The analysis showed that the most important parameters describing log Ka were polar surface area (PSA), number of hydrogen bond donors (HBD), and log D at a physiologically relevant pH. Combining log D at pH 6.0 with PSA or HBD resulted in models with Q2 and R2 values ranging from 0.74 to 0.76. An external data set of 169 compounds demonstrated that the models were able to predict Ka values that correlated well with experimental FA values. Thus, it was shown that, using a combination of only two computational molecular descriptors, it is possible to predict with good accuracy the Ka value for a new drug candidate.

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     University of Kuopio.

     Current address:  Orion Pharma, Clinical Pharmacokinetics, P.O. Box 1780, FIN-70701 Kuopio, Finland.


     To whom correspondence should be addressed. Telephone:  +358 9 191 59636. Fax:  +358 9 191 59138. E-mail:  [email protected].


     Current address:  Drug Discovery and Development Technology Center, University of Helsinki.

     Orion Pharma, Espoo.

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