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The norepinephrine transporter (NET) is one of the monoamine transporters. Its X-ray crystal structure has not been obtained yet. Inhibitors of human NET (hNET) play a major role in the treatment of many central and peripheral nervous system diseases. In this study, we focused on the spatial structure of a NET constructed by homology modeling on Drosophila melanogaster dopamine transporter templates. We further examined molecular construction of primary binding pocket (S1) together with secondary binding site (S2) and extracellular loop 4 (EL4). The next stage involved docking of transporter inhibitors: Reboxetine, duloxetine, desipramine, and other commonly used drugs. The procedure revealed the molecular orientation of residues and disclosed ones that are the most important for ligand binding: Phenylalanine F72, aspartic acid D75, tyrosine Y152, and phenylalanine F317. Aspartic acid D75 plays a key role in recognition of the basic amino group present in monoamine transporter inhibitors and substrates. The study also presents a comparison of hNET models with other related proteins, which could provide new insights into their interaction with therapeutics and aid future development of novel bioactive compounds.
Dopamine Plasma Membrane Transport Proteins, Binding Sites, Norepinephrine Plasma Membrane Transport Proteins, reuptake inhibitors, homology modeling, Dopamine, Molecular Dynamics Simulation, Microbiology, QR1-502, Article, Norepinephrine, Drosophila melanogaster, ligand docking, Animals, Drosophila Proteins, Humans, norepinephrine transporter, Protein Binding
Dopamine Plasma Membrane Transport Proteins, Binding Sites, Norepinephrine Plasma Membrane Transport Proteins, reuptake inhibitors, homology modeling, Dopamine, Molecular Dynamics Simulation, Microbiology, QR1-502, Article, Norepinephrine, Drosophila melanogaster, ligand docking, Animals, Drosophila Proteins, Humans, norepinephrine transporter, Protein Binding
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |