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Homology Modeling of Dopamine D2 and D3 Receptors: Molecular Dynamics Refinement and Docking Evaluation

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TLDR
The present computational approach seems suitable to build and refine structure models of homologous dopamine receptors that may be of value for structure-based drug discovery of selective dopaminergic ligands.
Abstract
Dopamine (DA) receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders. The lack of structural information about GPCRs and their ligand complexes has prompted the development of homology models of these proteins aimed at structure-based drug design. Crystal structure of human dopamine D3 (hD3) receptor has been recently solved. Based on the hD3 receptor crystal structure we generated dopamine D2 and D3 receptor models and refined them with molecular dynamics (MD) protocol. Refined structures, obtained from the MD simulations in membrane environment, were subsequently used in molecular docking studies in order to investigate potential sites of interaction. The structure of hD3 and hD2L receptors was differentiated by means of MD simulations and D3 selective ligands were discriminated, in terms of binding energy, by docking calculation. Robust correlation of computed and experimental Ki was obtained for hD3 and hD2L receptor ligands. In conclusion, the present computational approach seems suitable to build and refine structure models of homologous dopamine receptors that may be of value for structure-based drug discovery of selective dopaminergic ligands.

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Journal ArticleDOI

Dopamine D(3) receptor as a new pharmacological target for the treatment of depression.

TL;DR: Dopamine D3 receptor expression and function are both down-regulated in stress and depression, and these changes are reversed by antidepressant treatments, suggesting that enhanced dopaminergic neurotransmission mediated by dopamine D3 receptors participates in adaptive changes related to antidepressant activity.
Journal ArticleDOI

Current drug treatments targeting dopamine D3 receptor.

TL;DR: An overview of studies indicating D3R as a target for pharmacological therapy, and a review of market approved drugs endowed with significant affinity at D2-like receptor subtype that are used to treat disorders where D 3R plays a relevant role are provided.
Journal ArticleDOI

Pharmacological management of ocular hypertension: current approaches and future prospective

TL;DR: This review focuses on pharmacological management of ocular hypertension with a particular attention to the future pharmacotherapy scenario.
Journal ArticleDOI

Dopamine outside the brain: The eye, cardiovascular system and endocrine pancreas.

TL;DR: Data is summarized on DA and DRs in the eye, cardiovascular system and endocrine pancreas, three districts where DA and DA-related drugs have been studied and the expression of DR documented, to enable a full comprehension of peripheral DA signaling.
References
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Journal ArticleDOI

VMD: Visual molecular dynamics

TL;DR: VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids, which can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods.
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Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

TL;DR: An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented based on interpolation of the reciprocal space Ewald sums and evaluation of the resulting convolutions using fast Fourier transforms.
Journal ArticleDOI

AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

TL;DR: AutoDock Vina achieves an approximately two orders of magnitude speed‐up compared with the molecular docking software previously developed in the lab, while also significantly improving the accuracy of the binding mode predictions, judging by tests on the training set used in AutoDock 4 development.
Journal ArticleDOI

Scalable molecular dynamics with NAMD

TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
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