A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on Grids

TL;DR

This paper proposes an evolutionary method for identifying new proteins and variants using de novo sequencing, tested on simulated and real spectra on the Grid5000 platform, addressing limitations of traditional database matching.

Contribution

It introduces a novel evolutionary approach for de novo protein sequencing to discover new proteins and variants, expanding beyond database search limitations.

Findings

Effective on simulated spectra

Validated on real spectra

Demonstrates potential for novel protein discovery

Abstract

Protein identification is one of the major task of Proteomics researchers. Protein identification could be resumed by searching the best match between an experimental mass spectrum and proteins from a database. Nevertheless this approach can not be used to identify new proteins or protein variants. In this paper an evolutionary approach is proposed to discover new proteins or protein variants thanks a "de novo sequencing" method. This approach has been experimented on a specific grid called Grid5000 with simulated spectra and also real spectra.