Skip to Main content Skip to Navigation
Journal articles

Statistical modeling of in vitro pepsin specificity

Abstract : The specificity of pepsin, the major protease of gastric digestion, has been previously investigated, but only regarding the primary sequence of the protein substrates. The present study aimed to consider in addition physicochemical and structural characteristics, at the molecular and sub-molecular scales. For six different proteins submitted to in vitro gastric digestion, the peptide bonds cleaved were determined from the peptides released and identified by LC-MS/MS. An original statistical approach, based on propensity scores calculated for each amino acid residue on both sides of the peptide bonds, concluded that preferential cleavage occurred after Leu and Phe, and before Ile. Moreover, reliable statistical models developed for predicting peptide bond cleavage, highlighted the predominant role of the amino acid residues at the N-terminal side of the peptide bonds, up to the seventh position (P7 and P7 ′). The significant influence of hydrophobicity, charge and structural constraints around the peptide bonds was also evidenced.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-03248112
Contributor : Anne Giboulot <>
Submitted on : Thursday, June 3, 2021 - 1:43:01 PM
Last modification on : Monday, August 16, 2021 - 5:30:03 PM
Long-term archiving on: : Saturday, September 4, 2021 - 6:42:13 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-06-03

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Citation

Ousmane Suwareh, David Causeur, Julien Jardin, Valérie Briard-Bion, Steven Le Feunteun, et al.. Statistical modeling of in vitro pepsin specificity. Food Chemistry, Elsevier, 2021, 362, pp.130098. ⟨10.1016/j.foodchem.2021.130098⟩. ⟨hal-03248112⟩

Share

Metrics

Record views

202