Приказ основних података о документу

dc.creatorNikolić, Katarina
dc.creatorAgbaba, Danica
dc.creatorStark, Holger
dc.date.accessioned2019-09-02T11:47:01Z
dc.date.available2019-09-02T11:47:01Z
dc.date.issued2015
dc.identifier.issn1876-1070
dc.identifier.urihttps://farfar.pharmacy.bg.ac.rs/handle/123456789/2402
dc.description.abstractIn 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.en
dc.publisherElsevier Science BV, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172033/RS//
dc.relationTranslational Research Innovation-Pharma (TRIP)
dc.relationElse Kroner-Fresenius-Stiftung
dc.rightsrestrictedAccess
dc.sourceJournal of the Taiwan Institute of Chemical Engineers
dc.subjectDrug designen
dc.subject3D-QSARen
dc.subjectHistamine H-3 receptoren
dc.subjectHistamine N-methyltransferaseen
dc.subjectPharmacophoreen
dc.subjectVirtual screeningen
dc.titlePharmacophore modeling, drug design and virtual screening on multi-targeting procognitive agents approaching histaminergic pathwaysen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractСтарк, Холгер; Николић, Катарина; Aгбаба, Даница;
dc.citation.volume46
dc.citation.spage15
dc.citation.epage29
dc.citation.other46: 15-29
dc.citation.rankM21
dc.identifier.wos000348959600002
dc.identifier.doi10.1016/j.jtice.2014.09.017
dc.identifier.scopus2-s2.0-84920375608
dc.type.versionpublishedVersion


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Приказ основних података о документу