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dc.contributor.authorJang, Jae Wan-
dc.contributor.authorKim, Min Sup-
dc.contributor.authorCho, Yong Seo-
dc.contributor.authorCho, Art E.-
dc.contributor.authorPae, Ae Nim-
dc.date.accessioned2024-01-20T14:03:07Z-
dc.date.available2024-01-20T14:03:07Z-
dc.date.created2021-09-05-
dc.date.issued2012-09-
dc.identifier.issn1093-3263-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/128921-
dc.description.abstractDrug selectivity is one of the most critical improvement steps in drug development. The 5-hydroxytryptamine 2 (5-HT2) receptor has 3 subtypes that exhibit different pharmacological functions. Because of their high amino acid sequence similarity, designing small molecules that selectively activate only 1 receptor among the 3 subtypes is difficult. We performed homology modeling of the 5-HT2 receptor subtypes using the beta(2)-adrenergic receptor as a template to identify differences in active sites that may influence 5-HT2 receptor agonist selectivity. A subset of selective 5-HT2 agonists was docked into the modeled protein structures to investigate their interactions with each receptor. Subtype-specific active site residues at positions xl2.54, 5.39, and 5.46 interacted differently with each ligand. Molecular dynamics simulations revealed that position 5.46 of the 5-HT2A receptor interacted more favorably with selective 5-HT2A agonists than with selective 5-HT2A agonists. These computationally obtained insights provided clues to improving agonist selectivity for specific pharmacological action at 5-HT2 receptors. (C) 2012 Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectCRYSTAL-STRUCTURE-
dc.subjectCOUPLED RECEPTORS-
dc.subjectPHARMACOLOGICAL CHARACTERIZATION-
dc.subjectSEROTONIN RECEPTORS-
dc.subjectOPIOID RECEPTOR-
dc.subjectBINDING-SITE-
dc.subjectAGONISTS-
dc.subjectLSD-
dc.subjectCOMPLEX-
dc.subjectDRUG-
dc.titleIdentification of structural determinants of ligand selectivity in 5-HT2 receptor subtypes on the basis of protein-ligand interactions-
dc.typeArticle-
dc.identifier.doi10.1016/j.jmgm.2012.06.006-
dc.description.journalClass1-
dc.identifier.bibliographicCitationJOURNAL OF MOLECULAR GRAPHICS & MODELLING, v.38, pp.342 - 353-
dc.citation.titleJOURNAL OF MOLECULAR GRAPHICS & MODELLING-
dc.citation.volume38-
dc.citation.startPage342-
dc.citation.endPage353-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000313392800035-
dc.identifier.scopusid2-s2.0-84867476360-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryCrystallography-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaCrystallography-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.type.docTypeArticle-
dc.subject.keywordPlusCRYSTAL-STRUCTURE-
dc.subject.keywordPlusCOUPLED RECEPTORS-
dc.subject.keywordPlusPHARMACOLOGICAL CHARACTERIZATION-
dc.subject.keywordPlusSEROTONIN RECEPTORS-
dc.subject.keywordPlusOPIOID RECEPTOR-
dc.subject.keywordPlusBINDING-SITE-
dc.subject.keywordPlusAGONISTS-
dc.subject.keywordPlusLSD-
dc.subject.keywordPlusCOMPLEX-
dc.subject.keywordPlusDRUG-
dc.subject.keywordAuthor5-HT2 receptor-
dc.subject.keywordAuthorSubtype selectivity-
dc.subject.keywordAuthorHomology modeling-
dc.subject.keywordAuthorProtein-ligand docking-
dc.subject.keywordAuthorMolecular dynamic simulation-
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