Identification of Novel Serotonin Transporter Compounds by Virtual Screening
Author(s) -
Mari Gabrielsen,
Rafał Kurczab,
Agata Siwek,
Małgorzata Wolak,
Aina Westrheim Ravna,
Kurt Kristiansen,
Irina Kufareva,
Ruben Abagyan,
Gabriel Nowak,
Zdzisław Chilmończyk,
Ingebrigt Sylte,
Andrzej J. Bojarski
Publication year - 2014
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/ci400742s
Subject(s) - pharmacophore , virtual screening , serotonin transporter , in silico , serotonergic , transporter , serotonin , chemistry , computational biology , pharmacology , docking (animal) , homology modeling , neurotransmission , biochemistry , biology , medicine , enzyme , gene , receptor , nursing
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 three-dimensional (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 K(i) values of ≤1000 nM, belonging to 16 structural classes, have been identified, and multiple compounds share no structural resemblance with known SERT binders.
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