Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2006

Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry

Résumé

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.
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Dates et versions

inria-00270874 , version 1 (08-04-2008)

Identifiants

  • HAL Id : inria-00270874 , version 1
  • ARXIV : 0804.1201

Citer

Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Christian Rolando. Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry. CEC 2006, Jul 2006, Vancouver, Canada. ⟨inria-00270874⟩
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