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Article type: Research Article
Authors: Wang, Qiuchen | Fu, Mengjie | Gao, Lihui | Yuan, Xin | Wang, Ju; *
Affiliations: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
Correspondence: [*] Correspondence to: Ju Wang, PhD, School of Biomedical Engineering, Tianjin Medical University, Tianjin, 300070, China. E-mail: wangju@tmu.edu.cn.
Abstract: Background:Alzheimer’s disease (AD) is a neurodegenerative disorder that is the most common form of dementia in the elderly. The drugs currently used to treat AD only have limited effects and are not able to cure the disease. Drug repositioning has increasingly become a promising approach to find potential drugs for diseases like AD. Objective:To screen potential drug candidates for AD based on the relationship between risk genes of AD and drugs. Methods:We collected the risk genes of AD and retrieved the information of known drugs from DrugBank. Then, the AD-related genes and the targets of each drug were mapped to the human protein-protein interaction network (PPIN) to represent AD and the drugs on the network. The network distances between each drug and AD were calculated to screen the drugs proximal to AD-related genes on PPIN, and the screened drug candidates were further analyzed by molecular docking and molecular dynamics simulations. Results:We compiled a list of 714 genes associated with AD. From 5,833 drugs used for human diseases, we identified 1,044 drugs that could be potentially used to treat AD. Then, amyloid-β (Aβ) protein, the key molecule involved in the pathogenesis of AD was selected as the target to further screen drugs that may inhibit Aβ aggregation by molecular docking. We found that ergotamine and RAF-265 could bind stably with Aβ. In further analysis by molecular dynamics simulations, both drugs exhibited reasonable stability. Conclusions:Our work indicated that ergotamine and RAF-265 may be potential candidates for treating AD.
Keywords: Alzheimer’s disease, drug repositioning, ergotamine, molecular docking, risk genes
DOI: 10.3233/JAD-240235
Journal: Journal of Alzheimer's Disease, vol. 101, no. 4, pp. 1355-1366, 2024
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