Fragmentation prediction using neutral loss-fragment pairs

Abstract

In metabolomics, unknown peaks that chemical structures have not been determined are sometimes selected as metabolomic biomarker candidates in disease associated biomarker discovery. Recently, some chemoinformatics approaches using MS/MS spectra with the objective with structural elucidation of unknown peaks have been reported. In this study, we aimed to predict fragmentation by using neutral loss-fragment pairs.