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PEAKS: powerful software for peptide <i>de novo</i> sequencing by tandem mass spectrometry

2003· article· en· 1,382 citations· W1971887998 on OpenAlex· 10.1002/rcm.1196

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Opus teacher head0.020
GPT teacher head0.292
Teacher spread
0.272 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

A number of different approaches have been described to identify proteins from tandem mass spectrometry (MS/MS) data. The most common approaches rely on the available databases to match experimental MS/MS data. These methods suffer from several drawbacks and cannot be used for the identification of proteins from unknown genomes. In this communication, we describe a new de novo sequencing software package, PEAKS, to extract amino acid sequence information without the use of databases. PEAKS uses a new model and a new algorithm to efficiently compute the best peptide sequences whose fragment ions can best interpret the peaks in the MS/MS spectrum. The output of the software gives amino acid sequences with confidence scores for the entire sequences, as well as an additional novel positional scoring scheme for portions of the sequences. The performance of PEAKS is compared with Lutefisk, a well-known de novo sequencing software, using quadrupole-time-of-flight (Q-TOF) data obtained for several tryptic peptides from standard proteins.

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The record

Venue
Rapid Communications in Mass Spectrometry
Topic
Advanced Proteomics Techniques and Applications
Field
Chemistry
Canadian institutions
University of WaterlooBioinformatics Solutions (Canada)Western University
Funders
Natural Sciences and Engineering Research Council of Canada
Keywords
Tandem mass spectrometryChemistrySoftwareMass spectrometryPeptideComputational biologyTandemPeptide sequenceSequence (biology)Combinatorial chemistryChromatographyComputer scienceBiochemistryBiologyGene
Has abstract in OpenAlex
yes