Effectively addressing complex proteomic search spaces with peptide spectrum matching

Published in Bioinformatics, 2013

Recommended citation: Borges D, Perez-Riverol Y, Nogueira FC, et al. Effectively addressing complex proteomic search spaces with peptide spectrum matching. Bioinformatics. 2013;29(10):1343-1344. doi:10.1093/bioinformatics/btt106 https://pubmed.ncbi.nlm.nih.gov/23446294/

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Protein identification by mass spectrometry is commonly accomplished using a peptide sequence matching search algorithm, whose sensitivity varies inversely with the size of the sequence database and the number of post-translational modifications considered. We present the Spectrum Identification Machine, a peptide sequence matching tool that capitalizes on the high-intensity b1-fragment ion of tandem mass spectra of peptides coupled in solution with phenylisotiocyanate to confidently sequence the first amino acid and ultimately reduce the search space. We demonstrate that in complex search spaces, a gain of some 120% in sensitivity can be achieved.

Recommended citation: Borges D, Perez-Riverol Y, Nogueira FC, et al. Effectively addressing complex proteomic search spaces with peptide spectrum matching. Bioinformatics. 2013;29(10):1343-1344. doi:10.1093/bioinformatics/btt106