posted on 2006-12-04, 00:00authored byXinyuan Zhang, Kerby Shedden, Gus R. Rosania
In the body, cell monolayers serve as permeability barriers, determining transport of
molecules from one organ or tissue compartment to another. After oral drug administration, for
example, transport across the epithelial cell monolayer lining the lumen of the intestine determines
the fraction of drug in the gut that is absorbed by the body. By modeling passive transcellular
transport properties in the presence of an apical to basolateral concentration gradient, we
demonstrate how a computational, cell-based molecular transport simulator can be used to define
a physicochemical property space occupied by molecules with desirable permeability and
intracellular retention characteristics. Considering extracellular domains of cell surface receptors
located on the opposite side of a cell monolayer as a drug's desired site of action, simulation of
transcellular transport can be used to define the physicochemical properties of molecules with
maximal transcellular permeability but minimal intracellular retention. Arguably, these molecules
would possess very desirable features: least likely to exhibit nonspecific toxicity, metabolism,
and side effects associated with high (undesirable) intracellular accumulation; and most likely
to exhibit favorable bioavailability and efficacy associated with maximal rates of transport across
cells and minimal intracellular retention, resulting in (desirable) accumulation at the extracellular
site of action. Simulated permeability values showed good correlations with PAMPA, Caco-2,
and intestinal permeability measurements, without “training” the model and without resorting to
statistical regression techniques to “fit” the data. Therefore, cell-based molecular transport
simulators could be useful in silico screening tools for chemical genomics and drug discovery.
Keywords: Metoprolol; permeability; chemical space; computer aided drug design; virtual screening;
chemical genomics; cellular pharmacokinetics; cheminformatics; drug transport; PAMPA; Biopharmaceutics Classification System