6533b86dfe1ef96bd12ca213

RESEARCH PRODUCT

A high-quality homology model for the human dopamine transporter validated for drug design purposes.

Matthew C. CastellanaJon E. SpragueTarek M. MahfouzAndrea Castellar Montes

subject

DrugComputer sciencemedia_common.quotation_subjectDrug designComputational biologyNortriptyline01 natural sciencesBiochemistryInhibitory Concentration 50DopamineDrug DiscoverymedicineAnimalsDrosophila ProteinsHumansHomology modelingmedia_commonDopamine transporterPharmacologyDopamine Plasma Membrane Transport ProteinsBinding Sitesbiology010405 organic chemistryAddictionOrganic Chemistry0104 chemical sciencesProtein Structure TertiaryMolecular Docking Simulation010404 medicinal & biomolecular chemistryDrug Designbiology.proteinMolecular MedicineDrosophilaCocaine abusemedicine.drug

description

The human dopamine transporter (hDAT) plays many vital functions within the central nervous system and is thus targeted by many pharmaceutical agents. Dopamine-related therapies are in current development for individuals with dopamine-related disorders including depression, Parkinson's disease, and psychostimulant addictions such as cocaine abuse. Yet, most efforts to develop new dopamine therapies are within costly structure-activity relationship studies. Through structure-based drug design techniques, the binding site of hDAT can be utilized to develop novel selective and potent dopamine therapies at reduced costs. However, no structural models of hDAT specifically validated for rational drug design purposes currently exist. Here, using the Drosophila dopamine transporter as a template, a homology model for the hDAT was developed and validated. The model was able to reproduce experimental binding modes with great accuracy, was able to rank inhibitors in the correct order of increasing potency with an R2 value of 0.81 for the test set, and it also outperformed other published hDAT models. Thus, the model can be used reliably in structure-based drug design projects.

10.1111/cbdd.13495https://pubmed.ncbi.nlm.nih.gov/30721576