| pubmed-article:11795795 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C0920679 | lld:lifeskim |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C1514562 | lld:lifeskim |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C0002045 | lld:lifeskim |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:11795795 | lifeskim:mentions | umls-concept:C0075804 | lld:lifeskim |
| pubmed-article:11795795 | pubmed:issue | 1 | lld:pubmed |
| pubmed-article:11795795 | pubmed:dateCreated | 2002-1-17 | lld:pubmed |
| pubmed-article:11795795 | pubmed:abstractText | We have developed a pattern recognition algorithm called SALSA (scoring algorithm for spectral analysis) for the detection of specific features in tandem MS (MS-MS) spectra. Application of the SALSA algorithm to the detection of peptide MS-MS ion series enables identification of MS-MS spectra displaying characteristics of specific peptide sequences. SALSA analysis scores MS-MS spectra based on correspondence between theoretical ion series for peptide sequence motifs and actual MS-MS product ion series, regardless of their absolute positions on the m/z axis. Analyses of tryptic digests of bovine serum albumin (BSA) by LC-MS-MS followed by SALSA analysis detected MS-MS spectra for both unmodified and multiple modified forms of several BSA tryptic peptides. SALSA analysis of MS-MS data from mixtures of BSA and human serum albumin (HSA) tryptic digests indicated that ion series searches with BSA peptide sequence motifs identified MS-MS spectra for both BSA and closely related HSA peptides. Optimal discrimination between MS-MS spectra of variant peptide forms is achieved when the SALSA search criteria are optimized to the target peptide. Application of SALSA to LC-MS-MS proteome analysis will facilitate the characterization of modified and sequence variant proteins. | lld:pubmed |
| pubmed-article:11795795 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11795795 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11795795 | pubmed:language | eng | lld:pubmed |
| pubmed-article:11795795 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11795795 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:11795795 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11795795 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:11795795 | pubmed:month | Jan | lld:pubmed |
| pubmed-article:11795795 | pubmed:issn | 0003-2700 | lld:pubmed |
| pubmed-article:11795795 | pubmed:author | pubmed-author:LieblerDaniel... | lld:pubmed |
| pubmed-article:11795795 | pubmed:author | pubmed-author:HansenBeau... | lld:pubmed |
| pubmed-article:11795795 | pubmed:author | pubmed-author:DaveySean WSW | lld:pubmed |
| pubmed-article:11795795 | pubmed:author | pubmed-author:TiscarenoLaur... | lld:pubmed |
| pubmed-article:11795795 | pubmed:author | pubmed-author:MasonDaniel... | lld:pubmed |
| pubmed-article:11795795 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:11795795 | pubmed:day | 1 | lld:pubmed |
| pubmed-article:11795795 | pubmed:volume | 74 | lld:pubmed |
| pubmed-article:11795795 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:11795795 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:11795795 | pubmed:pagination | 203-10 | lld:pubmed |
| pubmed-article:11795795 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:meshHeading | pubmed-meshheading:11795795... | lld:pubmed |
| pubmed-article:11795795 | pubmed:year | 2002 | lld:pubmed |
| pubmed-article:11795795 | pubmed:articleTitle | Peptide sequence motif analysis of tandem MS data with the SALSA algorithm. | lld:pubmed |
| pubmed-article:11795795 | pubmed:affiliation | Southwest Environmental Health Sciences Center, College of Pharmacy and Department of Computer Science, The University of Arizona, Tucson 85721-0207, USA. liebler@pharmacy.arizona.edu | lld:pubmed |
| pubmed-article:11795795 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:11795795 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
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