Title:
Ligand-guided homology modeling drives identification of novel histamine H3 receptor ligands
Author(s):
Schaller, David; Hagenow, Stefanie; Stark, Holger; Wolber, Gerhard
Year of publication:
2019
Available Date:
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.
Keywords:
homology
histamine H3
ligands
DDC-Classification:
547 Organische Chemie
Publication Type:
Wissenschaftlicher Artikel
URL of the Original Publication:
DOI of the Original Publication:
Department/institution:
Biologie, Chemie, Pharmazie
Institut für Pharmazie
Comments:
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin und der DFG gefördert.