Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry
| dc.creator | Boisson, Jean-Charles | |
| dc.creator | Jourdan, Laetitia | |
| dc.creator | Talbi, El-Ghazali | |
| dc.creator | Rolando, Christian | |
| dc.date | 2008-04-08 | |
| dc.date.accessioned | 2026-07-07T12:18:11Z | |
| dc.date.available | 2026-07-07T12:18:11Z | |
| dc.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. | |
| dc.identifier | https://arxiv.org/abs/0804.1201 | |
| dc.identifier | http://arxiv.org/abs/0804.1201 | |
| dc.identifier | Dans CEC 2006 (2006) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/212325 | |
| dc.subject | Quantitative Methods | |
| dc.title | Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry | |
| dc.type | text |