Literature DB >> 31953821

Feature-Based Molecular Networking for Metabolite Annotation.

Vanessa V Phelan1.   

Abstract

The Global Natural Product Social Molecular Networking (GNPS) platform leverages tandem mass spectrometry (MS/MS) data for annotation of compounds. Molecular networks aid in the visualization of the chemical space within a metabolomics experiment. Recently, molecular networking has been combined with feature detection methods to yield Feature-Based Molecular Networking (FBMN). FBMN allows for the discrimination of isomers within the molecular network, incorporation of quantitative information generated by the feature detection tools into visualization of the molecular network, and compatibility with forthcoming in silico annotation tools. This chapter provides step-by-step methods for generating a molecular network to annotate microbial natural products using the Global Natural Product Social Molecular Networking (GNPS) Feature-Based Molecular Networking (FBMN) workflow.

Keywords:  Feature annotation; GNPS; Molecular networking; Natural Products; Secondary metabolism; Specialized metabolites

Mesh:

Year:  2020        PMID: 31953821     DOI: 10.1007/978-1-0716-0239-3_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Feature-Based Molecular Networks Identification of Bioactive Metabolites from Three Plants of the Polynesian Cosmetopoeia Targeting the Dermal Papilla Cells of the Hair Cycle.

Authors:  Kristelle Hughes; Raimana Ho; Stéphane Greff; Gaëtan Herbette; Edith Filaire; Edwige Ranouille; Jean-Yves Berthon; Phila Raharivelomanana
Journal:  Molecules       Date:  2021-12-24       Impact factor: 4.411

2.  Does the Phytochemical Diversity of Wild Plants Like the Erythrophleum genus Correlate with Geographical Origin?

Authors:  Cédric Delporte; Nausicaa Noret; Cécile Vanhaverbeke; Olivier J Hardy; Jean-François Martin; Marie Tremblay-Franco; David Touboul; Anais Gorel; Marie Faes; Caroline Stévigny; Pierre Van Antwerpen; Florence Souard
Journal:  Molecules       Date:  2021-03-17       Impact factor: 4.411

Review 3.  Multi-Omics-Based Discovery of Plant Signaling Molecules.

Authors:  Fei Luo; Zongjun Yu; Qian Zhou; Ancheng Huang
Journal:  Metabolites       Date:  2022-01-13
  3 in total

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