Please use this identifier to cite or link to this item:
http://dspace.dtu.ac.in:8080/jspui/handle/repository/15925
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | KUMARI, PRIYANKA | - |
dc.date.accessioned | 2017-08-28T12:13:17Z | - |
dc.date.available | 2017-08-28T12:13:17Z | - |
dc.date.issued | 2017-06 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15925 | - |
dc.description.abstract | The scienti c fraternity all over the world has been engaged in solving the internal riddle of senescence and contemplating to discover ways and means which is largely related with the process of aging. Aging is a multilevel and multifaceted process of getting older characterized by physical, physiological, psychological and social changes. It is an inevitable process and is usually marked by the negative deviation of the bodily structures and functions from the optimum. There are currently very limited FDA approved antiaging drugs in the market. Despite remarkable technological advances in genetics and drug screening, the discovery of new pharmacotherapies has slowed and new approaches to drug development are needed. With this premise, in the present study we explore the chemical-chemical and chemical-protein interactions for nding new and e ective treatment strategies for ageing. We have implemented interaction study on three drugs, namely, Resveratrol, Aspirin and Metformin, followed by clustering analysis of interacting partners of these drugs to identify novel candidate drugs for aging. We screened the novel anti-aging drug by ADMET analysis, nondruglikeliness and toxicity prediction. These screening tests indicated 5 drugs having compound ID(CID005910817),(CID4634), (CID5508),(CID26986) and (CID3158) followed all the rules of druglikeliness and Out of ve, only one compound i.e Phenyl ca eate or CAP(CID005910817) passed non-drug likeliness lters, and was predicted to be non-toxic also. Drug validation was done using DFT, PPI network analysis and microarray data analysis of wrinkles in young and old aged humans. Docking study proved that CAP has better potential to bind anti aging target SIRT1 than other known anti-aging drugs.Thus we propose that Phenyl cafeate(CID5910817) could be a potential anti aging drug if clinical tested. DFT study also proves that the proposed drug is stable, bioactive and could be used for further clinical analysis. To the best of our knowledge this is the rst time when Docking,Microarray data analysis, PPI network analysis , ADMEt analysis and DFT analysis are done for Phenyl ca eate to validate its anti aging property. The present study would certainly provide new solutions to the pharmaceuticals against aging and age related disorders. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-2906; | - |
dc.subject | LONGEVITY | en_US |
dc.subject | CLUSTERING | en_US |
dc.subject | EXPECTATION MAXIMIZATION | en_US |
dc.subject | CANDIDATE DRUGS | en_US |
dc.subject | ADMET | en_US |
dc.subject | DFT | en_US |
dc.title | PHENYL CAFFEATE: A NOVEL ANTI-AGING DRUG | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Bio Tech |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Priyanka_Bioinformatics_2K15_BIO_10.pdf | 4.85 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.