Testing physical models of passive membrane permeation.
Ontology highlight
ABSTRACT: The biophysical basis of passive membrane permeability is well-understood, but most methods for predicting membrane permeability in the context of drug design are based on statistical relationships that indirectly capture the key physical aspects. Here, we investigate molecular mechanics-based models of passive membrane permeability and evaluate their performance against different types of experimental data, including parallel artificial membrane permeability assays (PAMPA), cell-based assays, in vivo measurements, and other in silico predictions. The experimental data sets we use in these tests are diverse, including peptidomimetics, congeneric series, and diverse FDA approved drugs. The physical models are not specifically trained for any of these data sets; rather, input parameters are
SUBMITTER: Leung SS
PROVIDER: S-EPMC3383340 | biostudies-literature | 2012 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA