Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/383651
Title: Computational drug repurposing through the target MicroRNAs an integrated approach
Researcher: Deepthi K
Guide(s): Jereesh A S
Keywords: Computer Science Interdisciplinary Applications
Drug development
Drug repurposing
Engineering and Technology
MicroRNA
Non-coding RNA
University: Cochin University of Science and Technology
Completed Date: 2021
Abstract: Drug repurposing (repositioning), which refers to the identification newlineof new clinical indications for existing drugs, has become an important newlinestrategy for drug development. Drug development is a lengthy, newlinecomplicated, and highly expensive process, associated with a high degree newlineof uncertainty that a drug will eventually succeed. In order to overcome newlinethese challenges, drug developers are becoming more and more active in newlineidentifying new uses for approved drugs. Computational predictions of newlinedrug-disease associations provide a promising way to identify effective newlinedrugs for a particular disease. newlineNon-coding RNAs are RNA molecules that do not code for proteins. newlineAberrant expressions of non-coding RNAs are correlated with a broad newlinespectrum of human diseases. MicroRNAs (MiRNAs) are short non-coding newlineRNAs that control and coordinate various biological processes. The most newlinerecent studies in pharmacogenomics have demonstrated that drugs can newlinetarget miRNAs and regulate their expression levels. However, few studies newlineattempted to discover drug-disease causal relationships through the newlinemolecular basis of miRNA. Given the fact that the inappropriate expression newlineof miRNAs is related to many kinds of human diseases, developing drugs newlineto target specific miRNAs and modulate their activities would be a promising newlineapproach to human disease treatment. It offers an innovative insight into newlinedrug repositioning. This research work mainly focused on developing a newlinemethodology that discovers novel drug-disease associations through the newlinetarget miRNAs. Developing miRNA-based computational models to inferpotential drug-disease associations for drug repositioning would be an newlineeffective complement. The proposed method could successfully discover newlinethe causality underlying drugs and diseases. newlineMany recent experiments disclose that miRNAs play essential roles newlineas biomarkers and treatment targets for chronic diseases. Drugs achieve newlinetheir therapeutic functions by binding with specific target molecules. newline
Pagination: 207
URI: http://hdl.handle.net/10603/383651
Appears in Departments:Department of Computer Science

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02_declaration.pdf120.66 kBAdobe PDFView/Open
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04_acknowledgement.pdf104.64 kBAdobe PDFView/Open
05_content.pdf180.5 kBAdobe PDFView/Open
06_list of graph and table.pdf205.56 kBAdobe PDFView/Open
07_abstract.pdf171.89 kBAdobe PDFView/Open
08_chapter1.pdf583.31 kBAdobe PDFView/Open
09_chapter2.pdf1.09 MBAdobe PDFView/Open
10_chapter3.pdf1.56 MBAdobe PDFView/Open
11_chapter4.pdf1.51 MBAdobe PDFView/Open
12_chapter5.pdf2.06 MBAdobe PDFView/Open
13_chapter6.pdf1.84 MBAdobe PDFView/Open
14_chapter7.pdf1.05 MBAdobe PDFView/Open
15_chapter8.pdf394.69 kBAdobe PDFView/Open
16_reference.pdf362.01 kBAdobe PDFView/Open
80_recommendation.pdf488.11 kBAdobe PDFView/Open
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