First, the high data quality of manually curated entries allows the MITE repository to be used as a reference dataset during comparative genomics analysis. High-confidence matches against MITE entries may allow assumptions about functions of the putative enzymes, including the possible substrate preference. This may be especially useful in metagenomic datasets, where the fragmentation of BGCs in multiple contiguous sequences impedes matching against the MIBiG repository. Also, this can help connect BGCs to metabolite features in MS/MS data, based on the predicted presence of specific modifications.