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Bioorg Med Chem. 2005 Dec 1;13(23):6450-63. Epub 2005 Oct 3.

QSAR modeling of blood:air and tissue:air partition coefficients using theoretical descriptors.

Author information

1
Center for Heterocyclic Compounds, Department of Chemistry, University of Florida, Gainesville, 32611, USA. katritzky@chem.ufl.edu

Abstract

Human blood:air, human and rat tissue (fat, brain, liver, muscle, and kidney):air partition coefficients of a diverse set of organic compounds were correlated and predicted using structural descriptors by employing CODESSA-PRO and ISIDA programs. Four and five descriptor regression models developed using CODESSA-PRO were validated on three different test sets. Overall, these models have reasonable values of correlation coefficients (R(2)) and leave-one-out correlation coefficients (R(cv)(2)): R(2) = 0.881-0.983; R(cv)(2) = 0.826-0.962. Calculations with ISIDA resulted in models based on atom/bond sequences involving two to three atoms with statistical parameters that were similar to those of models obtained with CODESSA-PRO (R(2) = 0.911-0.974; R(cv)(2) = 0.831-0.936). A mixed pool of molecular and fragment descriptors did not lead to significant improvement of the models.

PMID:
16202613
DOI:
10.1016/j.bmc.2005.06.066
[Indexed for MEDLINE]

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