Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8929
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dc.contributor.authorShukla, Rohit-
dc.contributor.authorSingh, Tiratha Raj-
dc.date.accessioned2023-01-04T06:08:32Z-
dc.date.available2023-01-04T06:08:32Z-
dc.date.issued2021-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8929-
dc.description.abstractAlzheimer’s disease is a leading neurodegenerative disease worldwide and is the 6th leading cause of death in the USA. AD is a very complex disease and the drugs available in the market cannot fully cure it. The glycogen synthase kinase 3 beta plays a major role in the hyperphosphorylation of tau protein which forms the neurofibrillary tangles which is a major hallmark of AD. In this study, we have used a series of computational approaches to find novel inhibitors against GSK-3β to reduce the TAU hyperphosphorylation.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectAlzheimer’s diseaseen_US
dc.subjectNeurofibrillary tanglesen_US
dc.subjectTauopathiesen_US
dc.subjectMolecular dockingen_US
dc.subjectPrincipal component analysisen_US
dc.subjectMM-PBSAen_US
dc.titleHigh-throughput screening of natural compounds and inhibition of a major therapeutic target HsGSK-3β for Alzheimer’s disease using computational approachesen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



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