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Spectral similarity is used as a proxy for structural similarity in many tandem mass spectrometry (MS/MS) based metabolomics analyses such as library matching and molecular networking. Although weaknesses in the relationship between spectral similarity scores and the true structural similarities have been described, little development of alternative scores has been undertaken. Here, we introduce Spec2Vec, a novel spectral similarity score inspired by a natural language processingdoi:10.1371/journal.pcbi.1008724 pmid:33591968 pmcid:PMC7909622 fatcat:4iugdivf3vgi3o6vcjpz5tatca