Unrestrictive Identification of Multiple Post-translational Modifications from Tandem Mass Spectrometry Using an Error-tolerant Algorithm Based on an Extended Sequence Tag Approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Na, Seungjin | - |
dc.contributor.author | Jeong, Jaeho | - |
dc.contributor.author | Park, Heejin | - |
dc.contributor.author | Lee, Kong-Joo | - |
dc.contributor.author | Paek, Eunok | - |
dc.date.accessioned | 2022-12-21T00:10:50Z | - |
dc.date.available | 2022-12-21T00:10:50Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2008-12 | - |
dc.identifier.issn | 1535-9476 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/177597 | - |
dc.description.abstract | Identification of post-translational modifications (PTMs) is important to understanding the biological functions of proteins. MS/MS is a useful tool to identify PTMs. Most existing search tools are restricted to take only a few types of PTMs as input. Here we describe a new algorithm, called MODi (pronounced "mod eye"), that rapidly searches for all known types of PTMs at once without limiting a multitude of modified sites in a peptide. MODi introduces the notion of a tag chain, a combination structure made from multiple sequence tags, that effectively localizes modified regions within a spectrum and overcomes de novo sequencing errors common in tag-based approaches. MODi showed its performance competence by identifying various types of PTMs in analysis of PTM-rich proteins such as glyceraldehyde-3-phosphate dehydrogenase and lens protein. We demonstrated that MODi innovatively manages the computational complexity of identifying multiple PTMs in a peptide, which may exist in a greater variety than usually expected. In addition, it is suggested that MODi has great potential to discover novel modifications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC | - |
dc.title | Unrestrictive Identification of Multiple Post-translational Modifications from Tandem Mass Spectrometry Using an Error-tolerant Algorithm Based on an Extended Sequence Tag Approach | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Heejin | - |
dc.identifier.doi | 10.1074/mcp.M800101-MCP200 | - |
dc.identifier.scopusid | 2-s2.0-58149307960 | - |
dc.identifier.wosid | 000261328200014 | - |
dc.identifier.bibliographicCitation | MOLECULAR & CELLULAR PROTEOMICS, v.7, no.12, pp.2452 - 2463 | - |
dc.relation.isPartOf | MOLECULAR & CELLULAR PROTEOMICS | - |
dc.citation.title | MOLECULAR & CELLULAR PROTEOMICS | - |
dc.citation.volume | 7 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 2452 | - |
dc.citation.endPage | 2463 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods | - |
dc.subject.keywordPlus | PROTEIN IDENTIFICATION | - |
dc.subject.keywordPlus | PEPTIDE | - |
dc.subject.keywordPlus | ACETYLATION | - |
dc.subject.keywordPlus | DATABASES | - |
dc.subject.keywordPlus | POWERFUL | - |
dc.subject.keywordPlus | SOFTWARE | - |
dc.subject.keywordPlus | STRATEGY | - |
dc.subject.keywordPlus | SEARCH | - |
dc.subject.keywordPlus | LENS | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1535947620308707?via%3Dihub | - |
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