Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/156736
Title: Computational Study of Antibiotic Resistance Mechanisms in Diarrheal Pathogens and Identification of Potential Drug Targets and Vaccine Candidates
Researcher: Kusum
Guide(s): Raman, Jayashree
Keywords: Diarrhea
Immunoinformatics
Metabolic Networks
Omics
Pathogens
Pathway
SNP
University: Jaypee University of Information Technology, Solan
Completed Date: 21/07/2016
Abstract: Diarrheal diseases are the second leading cause of children deaths under age five worldwide. Diarrhea is caused by a wide variety of organism including bacteria viruses parasites and helminthes. Due to emergence of clinically significant cases of antibiotic resistance in diarrheal pathogens the problem of antibiotic resistance surfaced as a global health problem. Single Nucleotide Polymorphisms have a vast potential to be utilized as molecular diagnostics for gene-disease or pharmacogenomics association studies linking genotype to phenotype. In this study we first developed a database DBDiaSNP which contains information about 946 clinically significant mutations and 326 resistance genes compiled for pathogens such as DEC DiarrheagenicE. coli Salmonella spp. Campylobacter spp. Shigella spp. C.difficile E. histolytica V. cholerae and viruses. For future translational research involving integrative biology and global health the database offers veritable potentials particularly for worldwide monitoring. To understand the molecular events underlying the mechanism of drug resistance fully atomistic explicit-water solvated molecular dynamics simulations of wild-type and mutant forms of gyrA in EnterotoxigenicE. coli ETEC and C. jejunicomplexed with ciprofloxacin were performed. This study offers insights into molecular events central to the gyrA-ciprofloxacin interaction consequently would aid in design of more potent antibacterial agents with high ligand efficacy for treating drug resistant bacterial infections. We have employed a range of omics and systems biology approaches to investigate the entire genome/ proteome/ metabolome of pathogens viz. ETEC C. jejuni and S. typhimurium to instigate the search for potential therapeutic drug targets and vaccine candidates. Majority of the metabolites identified as potential drug targets are involved in cell wall synthesis fatty acid synthesis and bacterial secretion systems which are crucial for bacterial growth and viability. newline
Pagination: 
URI: http://hdl.handle.net/10603/156736
Appears in Departments:Department of Bioinformatics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File31.05 kBAdobe PDFView/Open
02_certificate.pdf742.28 kBAdobe PDFView/Open
03_table of contents_list of figures and tables.pdf304.82 kBAdobe PDFView/Open
04_chapter 1.pdf669.68 kBAdobe PDFView/Open
05_chapter 2.pdf578.35 kBAdobe PDFView/Open
06_chapter 3.pdf2.27 MBAdobe PDFView/Open
07_chapter 4.pdf719.27 kBAdobe PDFView/Open
08_chapter 5.pdf1.19 MBAdobe PDFView/Open
09_chapter 6.pdf5.77 MBAdobe PDFView/Open
10_chapter 7.pdf2.06 MBAdobe PDFView/Open
11_conclusion.pdf749.55 kBAdobe PDFView/Open
12_publications.pdf124.53 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: