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Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry

Abstract : 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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Contributor : Jean-Charles Boisson Connect in order to contact the contributor
Submitted on : Tuesday, April 8, 2008 - 9:42:41 AM
Last modification on : Thursday, January 20, 2022 - 5:27:53 PM
Long-term archiving on: : Thursday, May 20, 2010 - 11:02:56 PM


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


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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