dc.contributor.author | Gabrielsen, Mari | |
dc.contributor.author | Kurczab, Rafal | |
dc.contributor.author | Siwek, Agata | |
dc.contributor.author | Wolak, Malgorzata | |
dc.contributor.author | Ravna, Aina Westrheim | |
dc.contributor.author | Kristiansen, kurt | |
dc.contributor.author | Kufareva, Irina | |
dc.contributor.author | Abagyan, Ruben | |
dc.contributor.author | Nowak, Gabriel | |
dc.contributor.author | Chilmonczyk, Zdzislaw | |
dc.contributor.author | Sylte, Ingebrigt | |
dc.contributor.author | Bojarski, Andrzej J. | |
dc.date.accessioned | 2022-10-18T09:16:29Z | |
dc.date.available | 2022-10-18T09:16:29Z | |
dc.date.issued | 2014-02-12 | |
dc.description.abstract | The serotonin (5-hydroxytryptamine, 5-HT) transporter (SERT) plays an
essential role in the termination of serotonergic neurotransmission by removing 5-HT
from the synaptic cleft into the presynaptic neuron. It is also of pharmacological
importance being targeted by antidepressants and psychostimulant drugs. Here, five
commercial databases containing approximately 3.24 million drug-like compounds have
been screened using a combination of two-dimensional (2D) fingerprint-based and threedimensional (3D) pharmacophore-based screening and flexible docking into multiple
conformations of the binding pocket detected in an outward-open SERT homology model.
Following virtual screening (VS), selected compounds were evaluated using in vitro
screening and full binding assays and an in silico hit-to-lead (H2L) screening was performed to obtain analogues of the identified
compounds. Using this multistep VS/H2L approach, 74 active compounds, 46 of which had Ki values of ≤1000 nM, belonging to
16 structural classes, have been identified, and multiple compounds share no structural resemblance with known SERT binders. | en_US |
dc.identifier.citation | Gabrielsen M, Kurczab R, Siwek A, Wolak M, Ravna aw, Kristiansen k, Kufareva I, Abagyan R, Nowak G, Chilmonczyk Z, Sylte IS, Bojarski AJ. Identification of novel serotonin transporter compounds by virtual Screening. Journal of Chemical Information and Modeling. 2014;54(3):933-943 | en_US |
dc.identifier.cristinID | FRIDAID 1166572 | |
dc.identifier.doi | 10.1021/ci400742s | |
dc.identifier.issn | 1549-9596 | |
dc.identifier.issn | 1549-960X | |
dc.identifier.uri | https://hdl.handle.net/10037/27062 | |
dc.language.iso | eng | en_US |
dc.publisher | American Chemical Society | en_US |
dc.relation.journal | Journal of Chemical Information and Modeling | |
dc.relation.projectID | Notur/NorStore: NN2978K | en_US |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | © 2014 American Chemical Society | en_US |
dc.title | Identification of novel serotonin transporter compounds by virtual Screening | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |