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Vol. 61, Issue 5, 964-973, May 2002
Lilly Research Laboratories, Eli Lilly and Co., Lilly Corporate
Center, Indianapolis, Indiana (S.E., A.H.D., R.L.S., M.A.W., J.H.W.,
S.A.W.); Division of Clinical Pharmacology, Vanderbilt University,
Nashville, Tennessee (R.B.K., B.F.L.); Department of Pharmaceutical
Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
(E.G.S., L.-B.L., K.Y., J.D.S.)
P-glycoprotein (P-gp) is an efflux transporter involved in limiting the
oral bioavailability and tissue penetration of a variety of
structurally divergent molecules. A better understanding of the
structural requirements of modulators of P-gp function will aid in the
design of therapeutic agents. Toward this goal, three-dimensional quantitative structure-activity relationship (3D-QSAR) models were
generated using in vitro data associated with inhibition of P-gp
function. Several approaches were undertaken with multiple iterations,
yielding Catalyst 3D-QSAR models being able to qualitatively rank-order
and predict IC50 values for P-gp inhibitors excluded from
the model in question. The success of these validations suggests that a
P-gp pharmacophore for 27 inhibitors of digoxin transport in Caco-2
cells consisted of four hydrophobes and one hydrogen bond acceptor. A
second pharmacophore generated with 21 inhibitors of vinblastine
binding to plasma membrane vesicles derived from CEM/VLB100
cells contained three ring aromatic features and one hydrophobic
feature. A third pharmacophore generated with 17 inhibitors of
vinblastine accumulation in P-gp expressing LLC-PK1 cells contained four hydrophobes and one hydrogen bond acceptor. A final pharmacophore was generated for inhibition of calcein accumulation in P-gp expressing LLC-PK1 cells and found to contain two hydrophobes, a ring aromatic feature, and a hydrogen bond donor. The similarity of features for the
pharmacophores of P-gp inhibitors of digoxin transport and vinblastine
binding suggest some commonality in their binding sites. Utilization of
such models may prove to be of value for prediction of molecules that
may modulate one or more P-gp binding sites.
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