Human Dopamine Transporter: the First Implementation of a Combined in Silico/In Vitro Approach Revealing the Substrate and Inhibitor Specificities

gdc.relation.journal Journal of Biomolecular Structure and Dynamics en_US
dc.contributor.author Djikic, Teodora
dc.contributor.author Marti, Yasmina
dc.contributor.author Spyrakis, Francesca
dc.contributor.author Lau, Thorsten
dc.contributor.author Benedetti, Paolo
dc.contributor.author Davey, Gavin
dc.contributor.author Schloss, Patrick
dc.contributor.author Yelekçi, Kemal
dc.date.accessioned 2019-06-27T08:02:18Z
dc.date.available 2019-06-27T08:02:18Z
dc.date.issued 2019
dc.description.abstract Parkinson's disease (PD) is characterized by the loss of dopamine-generating neurons in the substantia nigra and corpus striatum. Current treatments alleviate PD symptoms rather than exerting neuroprotective effect on dopaminergic neurons. New drugs targeting the dopaminergic neurons by specific uptake through the human dopamine transporter (hDAT) could represent a viable strategy for establishing selective neuroprotection. Molecules able to increase the bioactive amount of extracellular dopamine thereby enhancing and compensating a loss of dopaminergic neurotransmission and to exert neuroprotective response because of their accumulation in the cytoplasm are required. By means of homology modeling molecular docking and molecular dynamics simulations we have generated 3D structure models of hDAT in complex with substrate and inhibitors. Our results clearly reveal differences in binding affinity of these compounds to the hDAT in the open and closed conformations critical for future drug design. The established in silico approach allowed the identification of promising substrate compounds that were subsequently analyzed for their efficiency in inhibiting hDAT-dependent fluorescent substrate uptake through in vitro live cell imaging experiments. Taken together our work presents the first implementation of a combined in silico/in vitro approach enabling the selection of promising dopaminergic neuron-specific substrates. en_US]
dc.identifier.citationcount 7
dc.identifier.doi 10.1080/07391102.2018.1426044 en_US
dc.identifier.issn 0739-1102 en_US
dc.identifier.issn 1538-0254 en_US
dc.identifier.issn 0739-1102
dc.identifier.issn 1538-0254
dc.identifier.scopus 2-s2.0-85041109188 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/593
dc.identifier.uri https://doi.org/10.1080/07391102.2018.1426044
dc.language.iso en en_US
dc.publisher Taylor & Francis Inc en_US
dc.relation.ispartof Journal of Biomolecular Structure and Dynamics
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject DAT en_US
dc.subject Substrates en_US
dc.subject Neuroprotection en_US
dc.subject Virtual screening en_US
dc.subject Molecular modeling en_US
dc.title Human Dopamine Transporter: the First Implementation of a Combined in Silico/In Vitro Approach Revealing the Substrate and Inhibitor Specificities en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Djikic, Teodora en_US
gdc.author.institutional Yelekçi, Kemal en_US
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Biyoinformatik ve Genetik Bölümü en_US
gdc.description.endpage 306
gdc.description.issue 2
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 291 en_US
gdc.description.volume 37 en_US
gdc.identifier.openalex W2782596644
gdc.identifier.pmid 29334320 en_US
gdc.identifier.wos WOS:000459906900003 en_US
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 2.8143092E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Virtual screening
gdc.oaire.keywords Models, Molecular
gdc.oaire.keywords Dopamine
gdc.oaire.keywords Cell Culture Techniques
gdc.oaire.keywords Molecular modeling
gdc.oaire.keywords Quantitative Structure-Activity Relationship
gdc.oaire.keywords Molecular Dynamics Simulation
gdc.oaire.keywords Ligands
gdc.oaire.keywords Substrate Specificity
gdc.oaire.keywords DAT; molecular modeling; neuroprotection; substrates; virtual screening; Structural Biology; Molecular Biology
gdc.oaire.keywords Dopamine Uptake Inhibitors
gdc.oaire.keywords Drug Discovery
gdc.oaire.keywords Humans
gdc.oaire.keywords Amino Acid Sequence
gdc.oaire.keywords Dopamine Plasma Membrane Transport Proteins
gdc.oaire.keywords Binding Sites
gdc.oaire.keywords Substrates
gdc.oaire.keywords Hydrogen Bonding
gdc.oaire.keywords DAT
gdc.oaire.keywords Neuroprotection
gdc.oaire.keywords Molecular Docking Simulation
gdc.oaire.keywords Protein Binding
gdc.oaire.popularity 5.253307E-9
gdc.oaire.publicfunded true
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0303 health sciences
gdc.openalex.fwci 0.551
gdc.openalex.normalizedpercentile 0.8
gdc.opencitations.count 8
gdc.plumx.crossrefcites 3
gdc.plumx.mendeley 24
gdc.plumx.pubmedcites 2
gdc.plumx.scopuscites 9
gdc.scopus.citedcount 9
gdc.wos.citedcount 8
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