Literature DB >> 28554577

Molecular properties associated with transporter-mediated drug disposition.

Manthena V Varma1, Yurong Lai2, Ayman F El-Kattan3.   

Abstract

Membrane transporters play a key role in the absorption, distribution, clearance, elimination, and transport of drugs. Understanding the drug properties and structure activity relationships (SAR) for affinity to membrane transporters is critical to optimize clearance and pharmacokinetics during drug design. To facilitate the early identification of clearance mechanism, a framework named the extended clearance classification system (ECCS) was recently introduced. Using in vitro and physicochemical properties that are readily available in early drug discovery, ECCS has been successfully applied to identify major clearance mechanism and to implicate the role of membrane transporters in determining pharmacokinetics. While the crystal structures for most of the drug transporters are currently not available, ligand-based modeling approaches that use information obtained from the structure and molecular properties of the ligands have been applied to associate the drug-related properties and transporter-mediated disposition. The approach allows prospective prediction of transporter both substrate and/or inhibitor affinity and build quantitative structure-activity relationship (QSAR) to enable early optimization of pharmacokinetics, tissue distribution and drug-drug interaction risk. Drug design applications can be further improved through uncovering transporter protein crystal structure and generation of quality data to refine and develop viable predictive models.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Extended clearance classification system (ECCS); Ligand-based modeling; Quantitative structure-activity relationship (QSAR); Transporter-mediated drug clearance

Mesh:

Substances:

Year:  2017        PMID: 28554577     DOI: 10.1016/j.addr.2017.05.014

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  3 in total

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