 |
 |
Article dans une revue
Digging into the low molecular weight peptidome with the OligoNet web server
Abstract : Bioactive peptides play critical roles in regulating many biological processes. Recently, natural short peptides biomarkers are drawing significant attention and are considered as "hidden treasure" of drug candidates. High resolution and high mass accuracy provided by mass spectrometry (MS)-based untargeted metabolomics would enable the rapid detection and wide coverage of the low-molecular-weight peptidome. However, translating unknown masses (<1 500 Da) into putative peptides is often limited due to the lack of automatic data processing tools and to the limit of peptide databases. The web server OligoNet responds to this challenge by attempting to decompose each individual mass into a combination of amino acids out of metabolomics datasets. It provides an additional network-based data interpretation named "Peptide degradation network" (PDN), which unravels interesting relations between annotated peptides and generates potential functional patterns. The ab initio PDN built from yeast metabolic profiling data shows a great similarity with well-known metabolic networks, and could aid biological interpretation. OligoNet allows also an easy evaluation and interpretation of annotated peptides in systems biology, and is freely accessible at https://daniellyz200608105.shinyapps.io/OligoNet/.
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01620015
Contributeur : Pam - Université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : vendredi 20 octobre 2017 - 09:23:25
Dernière modification le : jeudi 6 janvier 2022 - 11:38:04
Contributeur : Pam - Université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : vendredi 20 octobre 2017 - 09:23:25
Dernière modification le : jeudi 6 janvier 2022 - 11:38:04
Lien texte intégral
