2009
DOI: 10.1093/bioinformatics/btp516
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UniMaP: finding unique mass and peptide signatures in the human proteome

Abstract: Summary: The uniqueness of a measured molecular mass or peptide sequence plays a very important role in the fields of protein identification and peptide/protein-biomarker investigation. We present a publicly available web application that offers information concerning the uniqueness of one or more molecular masses and one or more peptide sequences in the human proteome. When a sequence is found to be unique in humans, the application is able to search across all species querying whether this sequence is unique… Show more

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Cited by 19 publications
(18 citation statements)
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“…The system uses the file repositories from our previous works (4,9) which contain peptide fragments classified according to their molecular mass, derived from extensive digestion of human proteins in the UniProt Database. The current repositories contain UniProt’s release 6/2010 and it has been scheduled for an update once a year.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The system uses the file repositories from our previous works (4,9) which contain peptide fragments classified according to their molecular mass, derived from extensive digestion of human proteins in the UniProt Database. The current repositories contain UniProt’s release 6/2010 and it has been scheduled for an update once a year.…”
Section: Methodsmentioning
confidence: 99%
“…There are three major classes where the tools for peptide analysis can be classified: (i) the peptide/protein identification tools like RAId_DbS (1), Peptizer (2), DeNovoID (3) and PeptideFinder (4); (ii) tools for the mapping of post-translational peptide modifications like MODi (5), for peptide phosphorylation like PhosCalc (6) and proteolysis (7); (iii) tools for the investigation of specific characteristics of the peptide fragments like Remus (8) and UniMaP (9) for the property of uniqueness, like SignalP (10) for the signaling property, of the peptide–MHC binding affinity like BiodMHC (11) and MHCPred (12). However, to our knowledge, there is not any web server dedicated to the broad analysis of peptide characteristics performing peptide clustering and visualization in the peptide feature space.…”
Section: Introductionmentioning
confidence: 99%
“…Software such as SEQUEST ® (Eng), Mascot™ [41], X!Tandem [42], PrepMS™ [43] and the msProcess R package [101] perform protein identification, quantification and characterization. Complementary software such as PeptideFinder and UniMaP facilitate the high-resolution mapping of the measured molecular masses to peptides and proteins, irrespective of the enzyme/digestion method used, as well as the discovery of unique tags, either at a molecular mass level or a sequence level, respectively [44,45].…”
Section: Data Collectionmentioning
confidence: 99%
“…19 Strategies to resolve these issues have employed database filtering prior to the search to incorporate only unique peptides. [20][21][22] This workaround has shown to lower statistical q-values (not to be confused with ion trap Mathieu stability) by reducing the search space, thus increasing peptide confidence. [22][23][24][25] Building selectivity into a proteomic work-flow to allow meaningful database filtering to include only those peptides that contain a more specific type of amino acid composition have shown similar types of improvement.…”
Section: Introductionmentioning
confidence: 99%