Log in to save to my catalogue

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic network...

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic network...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0fce2db786649db8813dc503b78bb03

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

About this item

Full title

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2022-11, Vol.13 (1), p.6656-6656, Article 6656

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Liquid chromatography - mass spectrometry (LC-MS) based untargeted metabolomics allows to measure both known and unknown metabolites in the metabolome. However, unknown metabolite annotation is a major challenge in untargeted metabolomics. Here, we develop an approach, namely, knowledge-guided multi-layer network (KGMN), to enable global metabolite...

Alternative Titles

Full title

Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d0fce2db786649db8813dc503b78bb03

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0fce2db786649db8813dc503b78bb03

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-022-34537-6

How to access this item