PuSH - Publikationsserver des Helmholtz Zentrums München

Liu, Y.* ; Forcisi, S. ; Lucio, M. ; Harir, M. ; Bahut, F.* ; Deleris-Bou, M.* ; Krieger-Weber, S.* ; Gougeon, R.D.* ; Alexandre, H.* ; Schmitt-Kopplin, P.

Digging into the low molecular weight peptidome with the OligoNet web server.

Sci. Rep. 7:11692 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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/ .
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Enzyme-inhibitory Peptides; Mass-spectrometry Data; Bioactive Peptides; Bitter Taste; Metabolomics; Networks; Identification; Prediction; Quantification; Oligopeptidase
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 7, Heft: 1, Seiten: , Artikelnummer: 11692 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus