Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/460146
Title: Analyses of transcription factors from pathogenic organisms elucidation of their involvements in disease developments
Researcher: Chowdhury, Nilkanta
Guide(s): Bagchi, Angshuman
Keywords: Biochemical Research Methods
Biology and Biochemistry
Life Sciences
University: University of Kalyani
Completed Date: 2020
Abstract: The main goal of the thesis titled and#8213;Analyses of transcription factors from pathogenic newlineorganisms - elucidation of their involvements in disease developmentsand#8214; is to analyze the newlinemechanism of DNA-protein interactions and how the DNA-protein interactions are newlineassociated with diseases. DNA-protein interactions play vital roles in many of the newlinebiological processes. The central dogma of molecular biology relies on the proper binding newlineinteractions between the DNA and the protein [1]. The binding of proteins to DNA lead to newlinethe generation of different types of virulence factors from pathogenic organisms. For my newlinestudy, I used the pathogenic organism Pseudomonas aeruginosa. Pseudomonas aeruginosa newlineis an opportunistic human pathogen [2]. The organism attacks immune-compromised newlinepatients and spreads secondary infections [3]. The severities of the infections are such that newlinenearly 60% of deaths in hospitals are caused due to secondary infections by the organism newline[4]. The organism codes for highly poisonous hydrogen cyanide (HCN) by the enzyme newlineHCN synthase. The enzyme is transcribed by the genes of the operon hcnABC [5]. The newlinetranscription of the genes of the operon is mediated by three proteins called LasR, ANR and newlineRhlR [6, 7]. The genetics of the aforementioned transcription process is well understood. newlineHowever, till date, the molecular mechanism of the process is not known. In my thesis newlinework, I tried to analyze and predict the molecular mechanism of the transcription process as newlineit has not yet been deciphered. Therefore, I extracted the existing data pertaining to the newlinehcnABC operon and used and analyzed them with the help of existing bioinformatics tools to newlinecome up with a suitable computational model to interpret the molecular mechanism of the newlinesynthesis of HCN from hcnABC operon newline
Pagination: vi, 210p
URI: http://hdl.handle.net/10603/460146
Appears in Departments:Biochemistry and Biophysics

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02_declaration.pdf879.6 kBAdobe PDFView/Open
03_certificate.pdf199.16 kBAdobe PDFView/Open
04_acknowledgement.pdf100.76 kBAdobe PDFView/Open
06_chapter 1.pdf1.95 MBAdobe PDFView/Open
07_chapter 2.pdf3.11 MBAdobe PDFView/Open
08_chapter 3.pdf2.26 MBAdobe PDFView/Open
09_chapter 4.pdf1.67 MBAdobe PDFView/Open
10_chapter 5.pdf1.23 MBAdobe PDFView/Open
11_chapter 6.pdf2.01 MBAdobe PDFView/Open
12_chapter 7.pdf1.76 MBAdobe PDFView/Open
14_list of publication.pdf278.34 kBAdobe PDFView/Open
15_list of abberviations.pdf7.61 kBAdobe PDFView/Open
16_abstract.pdf673.25 kBAdobe PDFView/Open
80_recommendation.pdf278.34 kBAdobe PDFView/Open
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