Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/308853
Title: Investigating the mechanistic insight of environmental chemical induced neurodegeneration the insilico simulation
Researcher: Neha srivastava
Guide(s): Dr Prachi Srivastava
Keywords: Engineering
Engineering and Technology
Engineering Biomedical
University: Dr. A.P.J. Abdul Kalam Technical University
Completed Date: 2020
Abstract: Neurodegenerative diseases (NDDs) are irredeemable and incapacitating conditions that newlineresult in progressive degeneration. Associations of these problems are correlated with newlinedifferent pathological features including a major inclination towards the oxidative stress newline(OS). OS can cause cellular damage that result in cell death due to overproduction of newlinereactive oxygen species (ROS) that may play the crucial role in the disease progression. newlineAn impaired mechanism in correlation with reduced expression of antioxidant proteins newlineis the very common feature among most of the NDDs. Various in-vitro and in-vivo newlinestudies suggest the adverse effect of environmental chemicals specifically, exposure to newlinepesticides, leads to growing number of human pathological conditions; among these, newlineneurodegenerative disorders is an emerging issue nowadays. Role of Nuclear factor newlineerythroid 2 related factor 2 (Nrf2/ARE) pathway is well established in a neuroprotection newlinein concern with stress-mediated neurodegeneration. Under stress condition, it newlinecoordinates the transcription of genes involved in phase II detoxification and an newlineantioxidant defence that is used to protect the cell from oxidative stress. The current insilico study was attempted to investigate the mechanism involved in environmental newlinechemical induced neurodegeneration and to identify potential drug target using system newlinebiology approaches and to design potential drug molecule for the target through drug newlinediscovery process followed by in-vitro validation.The protein-protein interaction (PPI) newlinenetwork was build using STRING 11.0 database, based on experimental, and coexpression data with 0.007 confidence score as main parameter for analysis. Following newlinethe study, the network was visualized and analyzed using Cytoscape v 3.6.0 plug-in newlineNetwork analyzer, based on betweenness centrality (BC) and node degree as topology newlineparameter for study. The functional enrichment analysis of identified gene was done newlineusing PANTHER GENE ONTOLOGY (GO) software and Database for Annotation, newlineVisualization, and Integrated discovery Functional Annotation Tool (DAVID) tool newlinetaking statistical parameters Bonferroni correction, fold enrichment and p-value. newline
Pagination: 
URI: http://hdl.handle.net/10603/308853
Appears in Departments:dean PG Studies and Research

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File267.16 kBAdobe PDFView/Open
02_declaration.pdf257 kBAdobe PDFView/Open
03_certificate.pdf311.74 kBAdobe PDFView/Open
04_acknowlegment.pdf197.91 kBAdobe PDFView/Open
05_content.pdf301.02 kBAdobe PDFView/Open
06_list of tables& figures.pdf1.02 MBAdobe PDFView/Open
07_chapter1.pdf706.2 kBAdobe PDFView/Open
08_chapter2.pdf862.6 kBAdobe PDFView/Open
09_chapter3.pdf601.2 kBAdobe PDFView/Open
10_chapter4.pdf4.93 MBAdobe PDFView/Open
11_bibilography.pdf1.32 MBAdobe PDFView/Open
80_recommendation.pdf329.08 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: