Abstract
Objective: In the present study, an attempt has been made for subtractive proteomic analysis approach for novel drug targets in Salmonella enterica subsp. enterica serover Typhi str.CT18 using computational tools.
Methods: Paralogous, redundant and less than 100 amino acid protein sequences were removed by using CD-HIT. Further detection of bacterial proteins which are non-homologous to host and are essential for the survival of pathogens by using BLASTp against host proteome and DEG`s, respectively. Comparative Metabolic pathways analysis was performed to find unique and common metabolic pathways. The non-redundant, non-homologous and essential proteins were BLAST against approved drug targets for drug targets while Psortb and CELLO were used to predict subcellular localization.
Results: There were 4473 protein sequences present in NCBI Database for Salmonella enterica subsp. enterica serover Typhi str. CT18 out of these 327 were essential proteins which were non-homologous to human. Among these essential proteins, 124 proteins were involved in 19 unique metabolic pathways. These proteins were further BLAST against approved drug targets in which 7 cytoplasmic proteins showed druggability and can be used as a therapeutic target.
Conclusion: Drug targets identification is the prime step towards drug discovery. We identified 7 cytoplasmic druggable proteins which are essential for the pathogen survival and non-homologous to human proteome. Further in vitro and in vivo validation is needed for the evaluation of these targets to combat against salmonellosis.
Keywords: Salmonellosis, Therapeutic target, Multi-drug-resistance, Database of essential genes, Druggability, Proteomic.
[http://dx.doi.org/10.1016/S0966-842X(01)02067-4] [PMID: 11435104]
[http://dx.doi.org/10.1111/j.1365-2958.1996.tb02615.x] [PMID: 8733226]
[http://dx.doi.org/10.1146/annurev.immunol.14.1.533] [PMID: 8717524]
[http://dx.doi.org/10.1038/35101607] [PMID: 11677608]
[http://dx.doi.org/10.1093/clinids/24.Supplement_1.S106] [PMID: 8994789]
[http://dx.doi.org/10.1128/AAC.03628-14] [PMID: 25199778]
[PMID: 9620400]
[PMID: 15756040]
[http://dx.doi.org/10.1016/S0140-6736(05)79356-9] [PMID: 9643778]
[http://dx.doi.org/10.1093/bioinformatics/btq003]
[http://dx.doi.org/10.3389/fgene.2013.00286] [PMID: 24379829]
[http://dx.doi.org/10.4172/jaa.100002]
[http://dx.doi.org/10.6026/97320630009187] [PMID: 23519164]
[http://dx.doi.org/10.1371/journal.pbio.1001014] [PMID: 21304918]
[http://dx.doi.org/10.1093/nar/gkh024] [PMID: 14681410]
[http://dx.doi.org/10.1093/nar/gkn858] [PMID: 18974178]
[http://dx.doi.org/10.1093/nar/gkm321] [PMID: 17526522]
[http://dx.doi.org/10.1093/bioinformatics/btq249] [PMID: 20472543]
[http://dx.doi.org/10.1186/1471-2105-11-195] [PMID: 20406434]
[http://dx.doi.org/10.1128/IAI.72.12.6757-6763.2004] [PMID: 15557595]
[http://dx.doi.org/10.1110/ps.03479604] [PMID: 15096640]
[http://dx.doi.org/10.1016/j.drudis.2009.08.006] [PMID: 19733256]
[http://dx.doi.org/10.1093/nar/gkr989] [PMID: 22067448]
[http://dx.doi.org/10.1093/nar/gkt1068] [PMID: 24203711]
[http://dx.doi.org/10.1093/nar/gkj067]
[http://dx.doi.org/10.1093/nar/gkm958] [PMID: 18048412]
[http://dx.doi.org/10.1016/j.bmcl.2011.05.021] [PMID: 21641210]
[http://dx.doi.org/10.1016/j.compbiolchem.2005.07.001]
[PMID: 20109152]
[http://dx.doi.org/10.1002/ddr.20413.]
[http://dx.doi.org/10.1016/j.ijpddr.2012.07.002] [PMID: 24533280]
[http://dx.doi.org/10.1093/nar/gkn760] [PMID: 18940858]
[http://dx.doi.org/10.1016/0005-2795(75)90009-4]
[http://dx.doi.org/10.1039/b000946f] [PMID: 11197477]
[http://dx.doi.org/10.1016/S0014-5793(02)02524-3] [PMID: 11959121]
[http://dx.doi.org/10.1007/s00775-008-0416-1] [PMID: 18704520]
[http://dx.doi.org/10.1099/jmm.0.068023-0] [PMID: 24403598]
[http://dx.doi.org/10.1007/s12539-014-0188-y]
[http://dx.doi.org/10.4172/jcsb.1000038]
[http://dx.doi.org/10.1128/AAC.42.7.1529] [PMID: 9660978]
[http://dx.doi.org/10.1111/j.1745-7270.2005.00046.x] [PMID: 15880257]