» Articles » PMID: 16085419

Validation of a Histamine H3 Receptor Model Through Structure-activity Relationships for Classical H3 Antagonists

Overview
Journal Bioorg Med Chem
Specialties Biochemistry
Chemistry
Date 2005 Aug 9
PMID 16085419
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Histamine H(3) receptor is a G protein-coupled receptor whose activation inhibits the synthesis and release of histamine and other neurotransmitters from nerve endings and is involved in the modulation of different central nervous system functions. H(3) antagonists have been proposed for their potential usefulness in diseases characterized by impaired neurotransmission and they have demonstrated beneficial effects on learning and food intake in animal models. In the present work, a 3D model of the rat histamine H(3) receptor, built by comparative modeling from the crystallographic coordinates of bovine rhodopsin, is presented with the discussion of its ability to predict the potency of known and new H(3) antagonists. A putative binding site for classical, imidazole-derived H(3) antagonists was identified by molecular docking. Comparison with a known pharmacophore model and the binding affinity of a new rigid H(3) antagonist (compound 1, pK(i)=8.02) allowed the characterization of a binding scheme which could also account for the different affinities observed in a recently reported series of potent H(3) antagonists, characterized by a 2-aminobenzimidazole moiety. Molecular dynamics simulations were employed to assess the stability and reliability of the proposed binding mode. Two new conformationally constrained benzimidazole derivatives were prepared and their binding affinity was tested on rat brain membranes; compound 9, designed to reproduce the conformation of a known potent H(3) antagonist, showed higher potency than compound 8, as expected from the binding scheme hypothesized.

Citing Articles

Dual Piperidine-Based Histamine H and Sigma-1 Receptor Ligands in the Treatment of Nociceptive and Neuropathic Pain.

Szczepanska K, Karcz T, Dichiara M, Mogilski S, Kalinowska-Tluscik J, Pilarski B J Med Chem. 2023; 66(14):9658-9683.

PMID: 37418295 PMC: 10388327. DOI: 10.1021/acs.jmedchem.3c00430.


Molecular dynamics of the histamine H3 membrane receptor reveals different mechanisms of GPCR signal transduction.

Herrera-Zuniga L, Moreno-Vargas L, Ballaud L, Correa-Basurto J, Prada-Gracia D, Pastre D Sci Rep. 2020; 10(1):16889.

PMID: 33037273 PMC: 7547658. DOI: 10.1038/s41598-020-73483-5.


Synthesis and Characterization of a Bidirectional Photoswitchable Antagonist Toolbox for Real-Time GPCR Photopharmacology.

Hauwert N, Mocking T, da Costa Pereira D, Kooistra A, Wijnen L, Vreeker G J Am Chem Soc. 2018; 140(12):4232-4243.

PMID: 29470065 PMC: 5879491. DOI: 10.1021/jacs.7b11422.


A structural chemogenomics analysis of aminergic GPCRs: lessons for histamine receptor ligand design.

Kooistra A, Kuhne S, de Esch I, Leurs R, de Graaf C Br J Pharmacol. 2013; 170(1):101-26.

PMID: 23713847 PMC: 3764853. DOI: 10.1111/bph.12248.


Improvement of the Prediction Power of the CoMFA and CoMSIA Models on Histamine H3 Antagonists by Different Variable Selection Methods.

Ghasemi J, Tavakoli H Sci Pharm. 2012; 80(3):547-66.

PMID: 23008805 PMC: 3447613. DOI: 10.3797/scipharm.1204-19.