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dc.contributor.authorViswanath, Ambily Nath Indu-
dc.contributor.authorKim, TaeHun-
dc.contributor.authorJung, Seo Yun-
dc.contributor.authorLim, Sang Min-
dc.contributor.authorPae, Ae Nim-
dc.date.accessioned2024-01-20T00:01:43Z-
dc.date.available2024-01-20T00:01:43Z-
dc.date.created2021-09-03-
dc.date.issued2017-12-
dc.identifier.issn1747-0277-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/121978-
dc.description.abstractPresent work aimed to introduce non-peptidic ABAD loop D (L-D) hot spot mimetics as ABAD-A inhibitors. A full-length atomistic model of ABAD-A complex was built as a scaffold to launch the lead design and its topology later verified by cross-checking the computational mutagenesis results with that of in vitro data. Thereafter, the interactions of prime A-binding L-D residuesTyr101, Thr108, and Thr110were translated into specific pharmacophore features and this hypothesis subsequently used as a virtual screen query. ELISA-based screening of 20 hits identified two promising lead candidates, VC15 and VC19 with an IC50 of 4.4 +/- 0.3 and 9.6 +/- 0.1m, respectively. They productively reversed A-induced mitochondrial dysfunctions such as mitochondrial membrane potential loss (JC-1 assay), toxicity (MTT assay), and ATP reduction (ATP assay) in addition to increased cell viabilities. This is the first reporting of L-D hot spot-centric in silico scheme to discover novel compounds with promising ABAD-A inhibitory potential. These chemotypes are proposed for further structural optimization to derive novel Alzheimer's disease (AD) therapeutics.-
dc.languageEnglish-
dc.publisherWILEY-
dc.subjectBETA-
dc.subjectIDENTIFICATION-
dc.subjectINHIBITORS-
dc.subjectMODEL-
dc.titleIn silico-designed novel non-peptidic ABAD L-D hot spot mimetics reverse A-induced mitochondrial impairments in vitro-
dc.typeArticle-
dc.identifier.doi10.1111/cbdd.13065-
dc.description.journalClass1-
dc.identifier.bibliographicCitationCHEMICAL BIOLOGY & DRUG DESIGN, v.90, no.6, pp.1041 - 1055-
dc.citation.titleCHEMICAL BIOLOGY & DRUG DESIGN-
dc.citation.volume90-
dc.citation.number6-
dc.citation.startPage1041-
dc.citation.endPage1055-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000415354300001-
dc.identifier.scopusid2-s2.0-85026323599-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryChemistry, Medicinal-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.type.docTypeArticle-
dc.subject.keywordPlusBETA-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusINHIBITORS-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorABAD-A inhibitors-
dc.subject.keywordAuthorABAD-A modeling-
dc.subject.keywordAuthorin silico design-
dc.subject.keywordAuthorL-D hot spots-
dc.subject.keywordAuthorpharmacophore-
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KIST Article > 2017
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