“…Finally, the analysis of the genomic neighborhood, or context, of protein sequences from SSN clusters can further consolidate their functionalities based on the co-occurrence within the specific type of enzymes or belonging to specific metabolic pathways [33,34]. For example, the majority of other uncharacterized sulfatases in the previously mentioned study were encoded in polysaccharide utilization loci, indicating their putative role in degrading polysaccharides, and the activity of several glycan-acting sulfatases was further characterized in other studies, providing a structural basis for the distinct sulfated glycan targets [35,36]. The genomic neighborhood may be examined by several bioinformatics tools, as well as online tools, such as STRING (https://string-db.org/), which directly returns the most frequent co-occurring genes based on protein sequence, and Genomic Neighborhood Tool (EFI-GNT), which can be linked to EFI-ESTbuilt SSN and retrieve genomic neighborhood for all protein sequences in each SSN cluster.…”