Virtual screening towards the search of new 5-HT6R ligands was carried out with three different fingerprints used for molecules representation. Two structurally new compounds were found to be characterized by a significant 5-HT6R activity (Ki of 119 and 670 nM). The compounds do not possess a positive ionizable group in their structures and therefore they belong to the group of atypical, non-basic 5-HT6R ligands. The obtained hits were proved to fit well in the 5-HT6R binding cavity by docking and molecular dynamic simulation experiments. Moreover, an in silico evaluation of the ADMET properties of these compounds predicted their drug-like character.
Keywords: Fingerprint-based consensus; Serotonin receptor 5-HT(6); Support vector machines; Virtual screening.
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