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Discovery of penta-peptides inhibiting activity of formylglycine generating enzyme and its potential antibacterial effect against Mycobacterium tuberculosis : The discovery of penta-peptides inhibiting the activity of the formylglycine-generating enzyme and their potential antibacterial effects against <i>Mycobacterium tuberculosis</i>

DC Field Value Language
dc.contributor.authorAsiimwe, Nicholas-
dc.contributor.authorAl Mazid, Mohammad Faysal-
dc.contributor.authorJeong, Yong Taek-
dc.contributor.authorLee, Ju Yong-
dc.contributor.authorLee, Jun Seok-
dc.date.accessioned2024-05-13T04:59:41Z-
dc.date.available2024-05-13T04:59:41Z-
dc.date.created2024-05-13-
dc.date.issued2022-06-
dc.identifier.citationRSC Advances, Vol.12 No.29, pp.18884-18888-
dc.identifier.issn2046-2069-
dc.identifier.urihttps://hdl.handle.net/10371/201504-
dc.description.abstractThe formylglycine-generating enzyme is a key regulator that converts sulfatase into an active form. Despite its key role in many diseases, enzyme activity inhibitors have not yet been reported. In this study, we investigated penta-peptide ligands for FGE activity inhibition and discovered two hit peptides. In addition, the lead peptides also showed potential antibacterial effects in a Mycobacterium tuberculosis model.-
dc.language영어-
dc.publisherRoyal Society of Chemistry-
dc.titleDiscovery of penta-peptides inhibiting activity of formylglycine generating enzyme and its potential antibacterial effect against Mycobacterium tuberculosis-
dc.title.alternativeThe discovery of penta-peptides inhibiting the activity of the formylglycine-generating enzyme and their potential antibacterial effects against Mycobacterium tuberculosis-
dc.typeArticle-
dc.identifier.doi10.1039/d2ra03379h-
dc.citation.journaltitleRSC Advances-
dc.identifier.wosid000818027200001-
dc.identifier.scopusid2-s2.0-85134341828-
dc.citation.endpage18888-
dc.citation.number29-
dc.citation.startpage18884-
dc.citation.volume12-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorLee, Ju Yong-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusMOUSE MODEL-
dc.subject.keywordPlusSULFATASES-
dc.subject.keywordPlusINTERFACE-
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  • Graduate School of Convergence Science & Technology
  • Dept. of Molecular and Biopharmaceutical Sciences
Research Area AI models for drug discovery, Free energy calculation, Molecular dynamics, 분자동역학, 신약개발을 위한 AI 모델, 자유에너지 계산

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