| pubmed-article:17404225 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17404225 | lifeskim:mentions | umls-concept:C0020792 | lld:lifeskim |
| pubmed-article:17404225 | lifeskim:mentions | umls-concept:C0033684 | lld:lifeskim |
| pubmed-article:17404225 | lifeskim:mentions | umls-concept:C1883073 | lld:lifeskim |
| pubmed-article:17404225 | lifeskim:mentions | umls-concept:C0868995 | lld:lifeskim |
| pubmed-article:17404225 | pubmed:issue | 15 | lld:pubmed |
| pubmed-article:17404225 | pubmed:dateCreated | 2007-4-11 | lld:pubmed |
| pubmed-article:17404225 | pubmed:abstractText | Advances in tandem mass spectrometry (MS/MS) steadily increase the rate of generation of MS/MS spectra. As a result, the existing approaches that compare spectra against databases are already facing a bottleneck, particularly when interpreting spectra of modified peptides. Here we explore a concept that allows one to perform an MS/MS database search without ever comparing a spectrum against a database. We propose to take advantage of spectral pairs, which are pairs of spectra obtained from overlapping (often nontryptic) peptides or from unmodified and modified versions of the same peptide. Having a spectrum of a modified peptide paired with a spectrum of an unmodified peptide allows one to separate the prefix and suffix ladders, to greatly reduce the number of noise peaks, and to generate a small number of peptide reconstructions that are likely to contain the correct one. The MS/MS database search is thus reduced to extremely fast pattern-matching (rather than time-consuming matching of spectra against databases). In addition to speed, our approach provides a unique paradigm for identifying posttranslational modifications by means of spectral networks analysis. | lld:pubmed |
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| pubmed-article:17404225 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17404225 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17404225 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:17404225 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17404225 | pubmed:month | Apr | lld:pubmed |
| pubmed-article:17404225 | pubmed:issn | 0027-8424 | lld:pubmed |
| pubmed-article:17404225 | pubmed:author | pubmed-author:PevznerPavel... | lld:pubmed |
| pubmed-article:17404225 | pubmed:author | pubmed-author:TsurDekelD | lld:pubmed |
| pubmed-article:17404225 | pubmed:author | pubmed-author:BandeiraNunoN | lld:pubmed |
| pubmed-article:17404225 | pubmed:author | pubmed-author:FrankAriA | lld:pubmed |
| pubmed-article:17404225 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17404225 | pubmed:day | 10 | lld:pubmed |
| pubmed-article:17404225 | pubmed:volume | 104 | lld:pubmed |
| pubmed-article:17404225 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17404225 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17404225 | pubmed:pagination | 6140-5 | lld:pubmed |
| pubmed-article:17404225 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:meshHeading | pubmed-meshheading:17404225... | lld:pubmed |
| pubmed-article:17404225 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17404225 | pubmed:articleTitle | Protein identification by spectral networks analysis. | lld:pubmed |
| pubmed-article:17404225 | pubmed:affiliation | Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093, USA. bandeira@cs.ucsd.edu | lld:pubmed |
| pubmed-article:17404225 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17404225 | pubmed:publicationType | Comparative Study | lld:pubmed |
| pubmed-article:17404225 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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