Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry

In Proteomics, only the de novo peptide sequencing approach allows a partial amino acid sequence of a peptide to be found from a MS/MS spectrum. In this article a preliminary work is presented to discover a complete protein sequence from spectral data (MS and MS/MS spectra). For the moment, our appr...

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Main Authors: Boisson, J.-C., Jourdan, L., Talbi, E.-G., Rolando, C.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Amino acids
Data mining
Genetic algorithms
Humans
Mass spectroscopy
MONOS devices
Peptides
Protein sequence
Proteomics
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Jourdan, L.
Talbi, E.-G.
Rolando, C.
description In Proteomics, only the de novo peptide sequencing approach allows a partial amino acid sequence of a peptide to be found from a MS/MS spectrum. In this article a preliminary work is presented to discover a complete protein sequence from spectral data (MS and MS/MS spectra). For the moment, our approach only uses MS spectra. A genetic algorithm (GA) has been designed with a new evaluation function which works directly with a complete MS spectrum as input and not with a mass list like the other methods using this kind of data. Thus the mono isotopic peak extraction step which needs a human intervention is deleted. The goal of this approach is to discover the sequence of unknown proteins and to allow a better understanding of the differences between experimental proteins and proteins from databases.
doi_str_mv 10.1109/CEC.2006.1688474
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subjects Algorithm design and analysis
Amino acids
Data mining
Genetic algorithms
Humans
Mass spectroscopy
MONOS devices
Peptides
Protein sequence
Proteomics
title Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry
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