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dc.contributor.authorLee, Jun-Seok-
dc.contributor.authorYoo, Young-Hwa-
dc.contributor.authorKang, Jihye-
dc.contributor.authorHan, Won Seok-
dc.contributor.authorLee, Jin Kak-
dc.contributor.authorYoon, Chang No-
dc.date.accessioned2024-01-20T10:03:23Z-
dc.date.available2024-01-20T10:03:23Z-
dc.date.created2021-09-04-
dc.date.issued2014-04-
dc.identifier.issn1359-7345-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/126962-
dc.description.abstractDiverse proteome reactivity profiles were obtained using small-molecule electrophiles. Based on the cross-reactivity profile, each protein generated a unique reactivity fingerprint. Here, we report the first proteome reactivity signature-based discrimination of 11 bacteria. Perfect differentiation of 11 bacteria can be achieved using 2 benzyl-halide probes.-
dc.languageEnglish-
dc.publisherROYAL SOC CHEMISTRY-
dc.subjectCOLORIMETRIC SENSOR ARRAY-
dc.subject16S RIBOSOMAL-RNA-
dc.subjectIDENTIFICATION-
dc.subjectNANOPARTICLE-
dc.subjectELECTROPHILES-
dc.subjectENSEMBLE-
dc.subjectGENETICS-
dc.subjectDISEASE-
dc.subjectWATER-
dc.titleProteome reactivity profiling for the discrimination of pathogenic bacteria-
dc.typeArticle-
dc.identifier.doi10.1039/c4cc00320a-
dc.description.journalClass1-
dc.identifier.bibliographicCitationCHEMICAL COMMUNICATIONS, v.50, no.33, pp.4347 - 4350-
dc.citation.titleCHEMICAL COMMUNICATIONS-
dc.citation.volume50-
dc.citation.number33-
dc.citation.startPage4347-
dc.citation.endPage4350-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000333580200021-
dc.identifier.scopusid2-s2.0-84897125281-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalResearchAreaChemistry-
dc.type.docTypeArticle-
dc.subject.keywordPlusCOLORIMETRIC SENSOR ARRAY-
dc.subject.keywordPlus16S RIBOSOMAL-RNA-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusNANOPARTICLE-
dc.subject.keywordPlusELECTROPHILES-
dc.subject.keywordPlusENSEMBLE-
dc.subject.keywordPlusGENETICS-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordPlusWATER-
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