De Novo Molecular Formula Annotation and Structure Elucidation Using SIRIUS 4.

Clicks: 358
ID: 82063
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
SIRIUS 4 is the best-in-class computational tool for metabolite identification from high-resolution tandem mass spectrometry data. It offers de novo molecular formula annotation with outstanding accuracy. When searching fragmentation spectra in a structure database, it reaches over 70% correct identifications. A predicted fingerprint, which indicates the presence or absence of thousands of molecular properties, helps to deduce information about the compound of interest even if it is not contained in any structure database. Here, we present best practices and describe how to leverage the full potential of SIRIUS 4, how to incorporate it into your own workflow, and how it adds value to the analysis of mass spectrometry data beyond spectral library search.
Reference Key
ludwig2020demethods Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ludwig, Marcus;Fleischauer, Markus;Dührkop, Kai;Hoffmann, Martin A;Böcker, Sebastian;
Journal methods in molecular biology (clifton, nj)
Year 2020
DOI
10.1007/978-1-0716-0239-3_11
URL
Keywords
metabolomics lc–ms/ms annotation metabolite identification molecular formula sirius structure prediction

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.