4.7 Article

Pharmacophore modeling, drug design and virtual screening on multi-targeting procognitive agents approaching histaminergic pathways

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.jtice.2014.09.017

Keywords

Drug design; 3D-QSAR; Histamine H-3 receptor; Histamine N-methyltransferase; Pharmacophore; Virtual screening

Funding

  1. Ministry of Education, Science and Technological Development of the Republic of Serbia [172033]
  2. Fraunhofer-Projektgruppe fur Translationale Medizin und Pharmakologie (TMP)
  3. European COST Actions [BM1007, CM1103, CM1207]
  4. Translational Research Innovation-Pharma (TRIP)
  5. Else Kroner-Fresenius-Stiftung

Ask authors/readers for more resources

In an effort to design dual acting compounds enhancing histaminergic neurotransmission in the central nervous system, a novel class of 35 non-imidazole histamine H-3 receptor (H3R) antagonists that simultaneously possess strong inhibitory potency on catabolic histamine N-methyltransferase (HMT), have been examined by 3D-QSAR study. For improved understanding, the crucial chemical functionalities for combined H3R/HMT activities 3D-QSAR pharmacophore models (H3R: R-2 (0.98), Q(2)(0.94), RMSE (0.171); and HMT: R-2 (0.80), Q(2) (0.60), RMSE (0.159) were developed. Pharmacophore for H3R antagonistic activity mainly differs from pharmacophore for HMT inhibiting activity in presence of specific lipophilic/steric components of the H3R pharmacophore, H-bond accepting components of the H3R pharmacophore, H-bond donating components of the HMT pharmacophore, and longer optimal distance between H-bond donor and steric hot spots in the H3R pharmacophore than in the HMT pharmacophore. Formed 3D-QSAR models were applied for design of novel piperidino-aminoquinoline hybrids as multitarget H3R/HMT ligands with potential impact in therapy of sleep-wake disorders and cognitive impairment. Designed compounds with 3D-QSAR predicted pKi (H3R) > 9.6 and (pKi (H3R) + pIC(50)(HMT)) > 16.8 were selected for further profiling. Virtual screening of ZINC database is performed against the most promising H3R/HMT ligand and top ranked compounds are tested by both 3D-QSAR models. (C) 2014 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available