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Biosciences Biotechnology Research Asia
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Biosciences Biotechnology Research Asia
Article
License: CC BY
Data sources: UnpayWall
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Molecular Docking Studies, Bioactivity Score Prediction, Drug Likeness Analysis of GSK-3 β Inhibitors: A Target Protein Involved in Alzheimer’s Disease

Authors: Akanksha Joshi; Rajesh Kumar; Archit Sharma;

Molecular Docking Studies, Bioactivity Score Prediction, Drug Likeness Analysis of GSK-3 β Inhibitors: A Target Protein Involved in Alzheimer’s Disease

Abstract

Glycogen synthase kinase 3 β (GSK-3 Beta) is a potential target for developing an effective therapeutic effect in Alzheimer's disease (AD). Currently, no such drug or molecules has been found till date which can cure AD completely. Few drugs such as acetylcholinesterase inhibitors and memantine are ineffective in the later stages of the disease. Therefore, with the advancements in computational biology approaches, it is possible to combat alzheimer’s disease by targeting one of the kinases i.e. GSK-3 β involved in hyper phosphorylation of tau (a reliable marker of neurodegenerative disorders). In this study, we have carried out alzheimer’s structure-based drug designing with GSK-3 β. By applying appropriate docking methodology, we have identified few plant-derived compounds which show enhanced target selectivity than the conventional alzheimer's drug (such as memantine). Here we enumerate the comparison among the current and future AD therapy on the basis of their binding affinities. As a result, a large library of compounds has been screened as potent drug targets. It was also observed that withanolide–A (extracted from roots of withania somnifera) has the potential to emerge as the eventual drug for the AD. Moreover, few other phytocompounds such as celastrol, kenpaullone, quercetin, alsterpaullone have also shown enhanced activity in the decreasing order of their binding affinities.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
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