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Identifying novel inhibitors targeting Exportin-1 for the potential treatment of COVID-19
DC Field | Value | Language |
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dc.contributor.author | 동재준 | - |
dc.date.accessioned | 2025-02-03T08:46:58Z | - |
dc.date.available | 2025-02-03T08:46:58Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.issn | 0302-8933 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/201856 | - |
dc.description.abstract | The 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.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | ARCHIVES OF MICROBIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Active Transport, Cell Nucleus | - |
dc.subject.MESH | COVID-19* | - |
dc.subject.MESH | Exportin 1 Protein* / antagonists & inhibitors | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | SARS-CoV-2 | - |
dc.title | Identifying novel inhibitors targeting Exportin-1 for the potential treatment of COVID-19 | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Family Medicine (가정의학교실) | - |
dc.contributor.googleauthor | Tanuj Sharma | - |
dc.contributor.googleauthor | Tanmoy Mondal | - |
dc.contributor.googleauthor | Sajid Khan | - |
dc.contributor.googleauthor | Marianela Patzi Churqui | - |
dc.contributor.googleauthor | Kristina Nyström | - |
dc.contributor.googleauthor | Ketan Thombare | - |
dc.contributor.googleauthor | Mohammad Hassan Baig | - |
dc.contributor.googleauthor | Jae-June Dong | - |
dc.identifier.doi | 10.1007/s00203-023-03761-z | - |
dc.contributor.localId | A04927 | - |
dc.relation.journalcode | J00222 | - |
dc.identifier.eissn | 1432-072X | - |
dc.identifier.pmid | 38240823 | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s00203-023-03761-z | - |
dc.subject.keyword | Docking | - |
dc.subject.keyword | Machine learning | - |
dc.subject.keyword | Molecular dynamics | - |
dc.subject.keyword | SARS-CoV-2 | - |
dc.subject.keyword | XPO1 | - |
dc.contributor.alternativeName | Dong, Jae June | - |
dc.contributor.affiliatedAuthor | 동재준 | - |
dc.citation.volume | 206 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 69 | - |
dc.identifier.bibliographicCitation | ARCHIVES OF MICROBIOLOGY, Vol.206(2) : 69, 2024-01 | - |
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