ctors 22 Pantothenate synthetase (B2FL68) sml01110-Biosynthesis of secondary metabolites sml01100-GCN5/PCAF Inhibitor Source metabolic pathways sml00770-Pantothenate and CoA biosynthesis Sml01240 -Biosynthesis of cofactors Sml00410- beta-Alanine metabolic process 23 24 Protein translocase subunit SecA (B2FPB2) Acetyl-coenzyme A carboxylase carboxyl transferase subunit beta (B2FNY8) Sml02024- Quorum sensing Sml03070- Bacterial secretion program sml01110-Biosynthesis of secondary metabolites sml01120-Microbial metabolic process in diverse environments Leishmania Inhibitor Storage & Stability sml01100-Metabolic pathways sml01212-Fatty acid metabolism sml00640- Propanoate metabolic process sml00620- Pyruvate metabolic process Sml00061-Fatty acid biosynthesis sml01200- Carbon metabolic process 25 Succinyl-diaminopimelate desuccinylase (B2FIC0) Sml00300- Lysine biosynthesis sml01120-Microbial metabolism in diverse environments 26 4-hydroxy-tetrahydrodipicolinate reductase (B2FQ70) Sml00300- Lysine biosynthesis sml01120-Microbial metabolism in diverse environments sml01110-Biosynthesis of secondary metabolites sml00261- Monobactam biosynthesis 27 Glycerol-3-phosphate dehydrogenase [NAD(P)+] (B2FHD8) sml01110-Biosynthesis of secondary metabolites Sml00564-Glycerophospholipid metabolism sml01100-Metabolic pathways sml01230-Biosynthesis of amino acids sml01100-Metabolic pathways sml01230-Biosynthesis of amino acids Sml03060- Protein export3-deoxy-manno-octulosonate cytidylyltransferase (B2FK23) Sml00540- Lipopolysaccharide biosynthesis Sml00540- Lipopolysaccharide biosynthesis sml01110-Biosynthesis of secondary metabolitesdoi.org/10.1371/journal.pone.0261111.twhich have been analyzed in KEGG database, 24 proteins were found to participate in popular metabolic pathways and rest of 3 namely chromosomal replication initiator protein DnaA, D-alanine-D-alanine ligase and Acyl-[acyl-carrier-protein]–UDP-N acetyl glucosamine Oacyltransferase were observed to participate in the pathogen specific pathways. Consequently, continued more for analysis.Subcellular localization predictionThe prediction of subcellular area can be a fast solution to acquire protein as it facilitates the steps needed to purify inside the experimental setup. That is done by identifying its spot i.e. regardless of whether cytoplasmic or membranous. The prediction retrieved through PSORTb unveiled these proteins to get cytoplasmic in nature (Table 2).PLOS One particular | doi.org/10.1371/journal.pone.0261111 December 15,7 /PLOS ONESubtractive genomics to determine drug targets against Stenotrophomonas maltophiliaTable 2. Sub cellular localization prediction of proteins involved in special metabolic pathways. Protein ID (Protein Name) B2FNN9 (D-alanine–D-alanine ligase) B2FHN6 (Acyl-[acyl-carrier-protein]–UDP-N acetyl glucosamine Oacyltransferase) B2FUW1 (Chromosomal replication initiator protein DnaA doi.org/10.1371/journal.pone.0261111.t002 Localization prediction Cytoplasmic Cytoplasmic Cytoplasmic Drug-able Yes Yes YesSelection of drug-able proteinsThose three putative proteins had been subjected on the Drug Financial institution. Two of them have been uncovered to be considerably related to drug entries with the database, both to FDA authorized or experimental medicines. These may possibly act as probable novel drug targets (Table 3).Structural evaluation of target proteinThe examination of primary framework uncovered that the D-alanine–D-alanine ligase protein and Acyl-[acyl-carrier-protein]–UDP-N acetyl glucosamine O-acyltransferase harbor the molecular mass of 21.07 kDaand 28.1 kDa, respectively. Furthermore, their isoelectric points were 4.87 and 6.47, grand average
