ABSTRACT:Identifying molecules that interact with P-glycoprotein (P-gp) is important for drug discovery but is also generally reliant on timeconsuming in vitro and in vivo studies. As an alternative approach, the current study applied pharmacophore models and database screening to rapidly retrieve molecules that bind as substrates or inhibitors for P-gp from commercial databases and then confirmed their affinity as inhibitors in vitro. Seven molecules (acitretin, cholecalciferol, misoprostol, nafcillin, repaglinide, salmeterol, and telmisartan) with no published details for P-gp affinity, one positive control inhibitor (miconazole), and two negative control molecules (phenelzine and zonisamide) were selected for testing. The MDCK-MDR1 in vitro cell model was used to confirm their inhibitory effect on [ 3 H]digoxin transport, and the ATPase assay was used as an additional in vitro tool to indicate P-gp activation. All seven test drugs were confirmed to have P-gp affinity. Additionally, our experimental results provided plausible explanations for the published pharmacokinetic profiles of the tested drugs and their classification according to the biopharmaceutics and drug disposition classification system. In this study, we showed the successful application of pharmacophore models to accurately predict P-gp binding, which holds promise to anticipate drug-drug interactions from screening drug databases and a priori prediction of novel P-gp inhibitors or substrates.Assessment of P-glycoprotein (P-gp, ABCB1) affinity in humans is a rate-limiting step in the identification of drug efficacy and safety. Apart from serving as a key factor in the natural detoxification mechanism in various human tissues, expression of P-gp also mediates efflux of xenobiotics. This generally results in reduced bioavailability as a result of increased hepatic, renal, and/or intestinal clearance of substrate drugs. Because of its frequent involvement in drug absorption, distribution, metabolism, and excretion, screening for in vivo and in vitro P-gp-mediated transport has become an essential component of the drug discovery process; this, in turn, may have led to the mounting costs of identifying clinical drug candidates. Attempts to coadminister P-gp modulators, inhibitors, or inducers to increase cellular availability by blocking the actions of P-gp have been met with limited success. As a result, there is a great need to identify whether a new chemical entity has affinity for P-gp and to understand the effects of P-gp on drug pharmacokinetics and pharmacodynamics. Thus, the rapid identification of P-gp substrates or inhibitors would be advantageous.Despite its overall significance, P-gp is poorly characterized at the atomic level, in large part because of the intrinsic difficulties involved in membrane protein crystallization. As an alternative, computational modeling of transporters has aided our understanding and has significantly increased our knowledge of transporter mechanisms and drug-transporter interactions. However, in the case of ...