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Identifying novel inhibitors targeting Exportin-1 for the potential treatment of COVID-19

DC Field Value Language
dc.contributor.author동재준-
dc.date.accessioned2025-02-03T08:46:58Z-
dc.date.available2025-02-03T08:46:58Z-
dc.date.issued2024-01-
dc.identifier.issn0302-8933-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/201856-
dc.description.abstractThe nuclear export protein 1 (XPO1) mediates the nucleocytoplasmic transport of proteins and ribonucleic acids (RNAs) and plays a prominent role in maintaining cellular homeostasis. XPO1 has emerged as a promising therapeutic approach to interfere with the lifecycle of many viruses. In our earlier study, we proved the inhibition of XPO1 as a therapeutic strategy for managing SARS-COV-2 and its variants. In this study, we have utilized pharmacophore-assisted computational methods to identify prominent XPO1 inhibitors. After several layers of screening, a few molecules were shortlisted for further experimental validation on the in vitro SARS-CoV-2 cell infection model. It was observed that these compounds reduced spike positivity, suggesting inhibition of SARS-COV-2 infection. The outcome of this study could be considered further for developing novel antiviral therapeutic strategies against SARS-CoV-2.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer-
dc.relation.isPartOfARCHIVES OF MICROBIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHActive Transport, Cell Nucleus-
dc.subject.MESHCOVID-19*-
dc.subject.MESHExportin 1 Protein* / antagonists & inhibitors-
dc.subject.MESHHumans-
dc.subject.MESHSARS-CoV-2-
dc.titleIdentifying novel inhibitors targeting Exportin-1 for the potential treatment of COVID-19-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Family Medicine (가정의학교실)-
dc.contributor.googleauthorTanuj Sharma-
dc.contributor.googleauthorTanmoy Mondal-
dc.contributor.googleauthorSajid Khan-
dc.contributor.googleauthorMarianela Patzi Churqui-
dc.contributor.googleauthorKristina Nyström-
dc.contributor.googleauthorKetan Thombare-
dc.contributor.googleauthorMohammad Hassan Baig-
dc.contributor.googleauthorJae-June Dong-
dc.identifier.doi10.1007/s00203-023-03761-z-
dc.contributor.localIdA04927-
dc.relation.journalcodeJ00222-
dc.identifier.eissn1432-072X-
dc.identifier.pmid38240823-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s00203-023-03761-z-
dc.subject.keywordDocking-
dc.subject.keywordMachine learning-
dc.subject.keywordMolecular dynamics-
dc.subject.keywordSARS-CoV-2-
dc.subject.keywordXPO1-
dc.contributor.alternativeNameDong, Jae June-
dc.contributor.affiliatedAuthor동재준-
dc.citation.volume206-
dc.citation.number2-
dc.citation.startPage69-
dc.identifier.bibliographicCitationARCHIVES OF MICROBIOLOGY, Vol.206(2) : 69, 2024-01-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Family Medicine (가정의학교실) > 1. Journal Papers

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