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World Journal of Advance Healthcare Research (WJAHR)Honored the authors with best paper award, monthly based on the innovation of research work. Best paper will be selected by our expert panel.
Best Article of current issue
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IN SILICO PREDICTION OF THE MECHANISM OF LEVETIRACETAM AGAINST ALZHEIMER’S DISEASE
Zarmina Khan, Tahir Ali Chohan, Ghulam Murtaza, Sidra Khan and Sajjad Haider*
Objective: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that is affecting people worldwide and it is important to discover effective drug treatment for Alzheimer’s disease. Levetiracetam (LEV) is an anticonvulsive drug use in epilepsy and found effective in treatment of Alzheimer’s disease but the mode of action of LEV against AD is unclear. So, this study aims to explore the anti-AD mechanism of LEV. Methods: A database named STITCH was used to identify the targets of LEV and a protein-protein interaction network was constructed using the same database which evaluated the interaction between the targets. Furthermore, gene ontology enrichment analysis with ClueGO plugin was used. Finally docking was performed for computational analysis. Results: According to results shown, 48 drug targets or gene proteins were found. After analyzing these targets abundance values and by gene functional annotation, seven GO terms were found to be closely related with Alzheimer’s disease. The terms found to be involved in mechanism of LEV against AD are KCNMA1, CBS, GRIN2B, CSTB, APOD, AMPH and FAS. Conclusions: The findings elaborate that LEV can be utilized to manage AD. However, multiple molecular mechanisms of action could be proposed for this effect. The observed core anti-AD mechanism of LEV could be the action on different genes found to be involved in AD. Furthermore, ILE97 and ALA436 are found to be interactive towards LEV. These mechanisms can be further elaborated through in-vivo studies.[Full Text Article]