Haupttitel:
Ligand-guided homology modeling drives identification of novel histamine H3 receptor ligands
Autor*in:
Schaller, David; Hagenow, Stefanie; Stark, Holger; Wolber, Gerhard
Datum der Freigabe:
2019-08-13T13:46:18Z
Abstract:
In this study, we report a ligand-guided homology modeling approach allowing the analysis of relevant binding site residue conformations and the identification of two novel histamine H3 receptor ligands with binding affinity in the nanomolar range. The newly developed method is based on exploiting an essential charge interaction characteristic for aminergic G-protein coupled receptors for ranking 3D receptor models appropriate for the discovery of novel compounds through virtual screening.
Freie Schlagwörter:
homology
histamine H3
ligands
DDC-Klassifikation:
547 Organische Chemie
Publikationstyp:
Wissenschaftlicher Artikel
Fachbereich/Einrichtung:
Biologie, Chemie, Pharmazie
Institut für Pharmazie
Anmerkungen:
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin und der DFG gefördert.