Computational drug repurposing through the target MicroRNAs an integrated approach

dc.contributor.guideJereesh A S
dc.coverage.spatial
dc.creator.researcherDeepthi K
dc.date.accessioned2022-06-02T05:54:43Z
dc.date.available2022-06-02T05:54:43Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered2016
dc.description.abstractDrug 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
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent207
dc.identifier.urihttp://hdl.handle.net/10603/383651
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science
dc.publisher.placeCochin
dc.publisher.universityCochin University of Science and Technology
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordDrug development
dc.subject.keywordDrug repurposing
dc.subject.keywordEngineering and Technology
dc.subject.keywordMicroRNA
dc.subject.keywordNon-coding RNA
dc.titleComputational drug repurposing through the target MicroRNAs an integrated approach
dc.title.alternative
dc.type.degreePh.D.

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