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Computational Analysis of Metabolic Pathways and Protein-Protein Interactions (PPIs) Of Clinically Significant Pathogens, and Identification of Inhibitors Of PPIs

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dc.contributor.author Sufian, Muhammad.
dc.date.accessioned 2018-12-06T10:14:15Z
dc.date.accessioned 2020-04-11T15:34:21Z
dc.date.available 2020-04-11T15:34:21Z
dc.date.issued 2018
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/4965
dc.description.abstract Salmonella enterica is a Gram-negative facultative anaerobic bacteria. It belongs to the family of Enterobacteriaceae. Infections caused by Salmonella species are major threat to the human and animal health. After 1-3 days of ingestion of contaminated food, the patient develops diarrhea, fever, vomiting, and abdominal cramps. The situation is exacerbated if not treated promptly. Whole genome sequencing projects of clinically significant serovars of S. enterica have opened new perspectives of medical research. Using the genomic data, novel approaches are being employed throughout the world to find new protein targets for drug designing and screening. Targeting the essential metabolic pathways of the bacteria is the approach which we have focused in our study. The protein sequence and metabolic pathway data of the core proteome of S. enterica was analyzed in comparison to that of Homo sapiens. Various computational tools (BLASTp, CD-HIT, and Shell scripting) and datasets (NCBI, DEG, and KEGG) were extensively utilized to find non-homologous and essential enzymes of the pathogen. We discovered 73 enzymes belonging to metabolic pathways found only in the bacteria but not in H. sapiens, and proposed them as potential drug targets. Later, we selected an essential outer membrane protein complex (LptD/E) of S. enterica involved in lipopolysaccharide assembly, as a target in search of an inhibitor of the PPI complex. Druggable sites at the interface of PPI were identified by PocketQuery followed by virtual screening of the ZINC database of commercially available compounds using the ZINCPharmer tool. Energy minimization and scoring of short-listed compounds was performed using SMINA. A rational screening of >10,000 compounds resulted in 3 compounds depicting favorable polar interactions and optimal conformation for binding with the LptD protein. We propose that this interaction may lead to block the LptD interaction with LptE and lipid molecules and in result may block the LPS assembly. en_US
dc.description.sponsorship Higher Education Commission, Pakistan en_US
dc.language.iso en_US en_US
dc.publisher University of Karachi, Karachi en_US
dc.subject Computational Analysis of Metabolic Pathways and Protein-Protein Interactions (PPIs) Of Clinically Significant Pathogens, and Identification of Inhibitors Of PPIs en_US
dc.title Computational Analysis of Metabolic Pathways and Protein-Protein Interactions (PPIs) Of Clinically Significant Pathogens, and Identification of Inhibitors Of PPIs en_US
dc.type Thesis en_US


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