A new approach that allows identification of intron-split peptides from mass spectrometric data in genomic databases

We present a new approach that allows the identification of intron-split peptides from mass spectrometric data in genomic databases. Our algorithm uses small regions of peptide sequence information which are automatically deduced from de novo amino acid sequence predictions together with the molecul...

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Veröffentlicht in:FEBS letters 2004-03, Vol.562 (1-3), p.202-206
Hauptverfasser: Allmer, Jens, Markert, Christine, Stauber, Einar J., Hippler, Michael
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container_title FEBS letters
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creator Allmer, Jens
Markert, Christine
Stauber, Einar J.
Hippler, Michael
description We present a new approach that allows the identification of intron-split peptides from mass spectrometric data in genomic databases. Our algorithm uses small regions of peptide sequence information which are automatically deduced from de novo amino acid sequence predictions together with the molecular mass information of the precursor ion. The sequence predictions are based on selected collision-induced mass spectrometric fragmentation spectra. Fragments of the predicted amino acid sequence are aligned with each of the six frames of the translated genome and the precursor mass information is used to assemble the corresponding tryptic peptides using the sequence as a matrix. Hereby, intron-split peptides can be gathered and in turn verified by mass spectrometric data interpretation tools such as Sequest.
doi_str_mv 10.1016/S0014-5793(04)00212-1
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subjects Algorithms
Amino Acid Sequence
Animals
Chlamydomonas reinhardtii
Databases, Genetic
Genome
Genome data
GPF, genomic peptide finder
Introns
Intron–exon structure
Mass spectrometry
Mass Spectrometry - methods
MS, mass spectrometry
MS/MS, tandem mass spectrometry
Peptides - chemistry
Peptides - genetics
Proteomics
Search algorithm
title A new approach that allows identification of intron-split peptides from mass spectrometric data in genomic databases
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