henhaobio
Sign in

bioRxivBiochemistry

METLIN Neutral Loss Database Enhances Similarity Analysis

G. Siuzdak, A. Aisporna, H. P. Benton, J.-M. Galano, M. Giera

PDFDOIPreprint

Abstract

Tandem mass spectrometry (MS2) data is an effective resource for the identification of known molecules and the putative identification of novel, previously uncharacterized molecules (unknowns). Yet, MS2 data alone is limited in characterizing structurally closely related molecules with different masses. Neutral loss data is key in retrieving this structural similarity. To facilitate unknown identification and complement METLINs MS2 fragment ion data for characterizing structurally related molecules, we have created the METLIN neutral loss database (https://metlin-nl.scripps.edu).

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHuber '21Bittremieux '22Li '19Jonge '22Rogers '19Huber '21
66% semantic matchBioinformatics
Florian Huber, Sven van der Burg, Justin J. J. van der Hooft+1 more·bioRxiv·Apr 18, 2021· 7 citations