As regarding the bacterial proteins, since they are not contemplated in PHAROS, the Geptop 2.0 52 method was used to predict their essentiality as a way of prioritization. Geptop 2.0 is a method that identifies essential genes in bacteria, by comparing orthology and phylogeny of the query protein with essential gene datasets determined experimentally (from both DEG and OGEE databases of essential genes). In this way, a total of 63 proteins were assigned the essential class and therefore where deemed of "high priority" within the set of 180 bacterial targets. These "high priority" proteins interact with a total of 212 metabolites. Figure displays the chemical class distribution of the 212 metabolites, plus the target class distribution of the 63 "high priority" bacterial proteins. The largest chemical class are "Organic acids and derivatives", including mainly organic acids, amino acids, and dipeptides, while the largest class is "Transferase", that collects transferases of a wide range of chemical groups, including phosphate, methyl, nucleotidyl, isoprenyl, etc. The set of both human and microbial "high priority" proteins are annotated in Table of Supporting Information.