bioRxiv · 10.1101/2021.04.02.438066
METLIN Neutral Loss Database Enhances Similarity Analysis
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).
Source connections
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Siuzdak, G., Aisporna, A., Benton, H. P., Galano, J.-M., Giera, M.. 2021-04-02. METLIN Neutral Loss Database Enhances Similarity Analysis. https://doi.org/10.1101/2021.04.02.438066
Cite the original work for its findings. Save a collection to share your selection of sources.