DEEPPROT

DEEPPROT

The ANR DeepProt project aims to improve the characterisation of proteins by deciphering the chemical modifications they carry, whether these are post-translational modifications that modulate cell function or modifications induced by food processes.

DeepProt
© INRAE Bia

Based on a ‘big data’ approach to searching for patterns in very large collections of spectra obtained by mass spectrometry, the SpecOMS software recently developed as part of a thesis by two of the project's partners has removed a methodological barrier to the identification of modified proteins. Building on this development, DeepProt now wants to take up the challenge of improving the rate at which spectra are interpreted.

In addition to developing new algorithms, DeepProt will process sets of spectra from two major scientific questions: the study of protein modifications induced by food processes (study in relation to the allergenicity of foods) and the metaproteomics of intestinal microbiota (for new therapeutic perspectives).

  • Project duration: 4 years (2018-2022)
  • Coordination: Hélène Rogniaux (BIA Unit - BIBS platform)
  • Academic partners :
    • INRA - BIA
    • Nantes Digital Sciences Laboratory (LS2N - Combi team)
    • Paris Sud-Ouest Proteomics Analysis Platform (PAPPSO - Le Moulon)
  • Total budget: €506k (ANR); €1.418m at full cost