Publication: Multidisciplinary approaches for targeting the secretase protein family as a therapeutic route for Alzheimer's disease
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Issued Date
2019-01-01
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ISSN
10981128
01986325
01986325
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2-s2.0-85059849736
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Mahidol University
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SCOPUS
Bibliographic Citation
Medicinal Research Reviews. Vol.39, No.5 (2019), 1730-1778
Suggested Citation
Nalini Schaduangrat, Veda Prachayasittikul, Saowapak Choomwattana, Prapimpun Wongchitrat, Kamonrat Phopin, Wilasinee Suwanjang, Aijaz Ahmad Malik, Bruno Vincent, Chanin Nantasenamat Multidisciplinary approaches for targeting the secretase protein family as a therapeutic route for Alzheimer's disease. Medicinal Research Reviews. Vol.39, No.5 (2019), 1730-1778. doi:10.1002/med.21563 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/50333
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Title
Multidisciplinary approaches for targeting the secretase protein family as a therapeutic route for Alzheimer's disease
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Abstract
© 2019 Wiley Periodicals, Inc. The continual increase of the aging population worldwide renders Alzheimer's disease (AD) a global prime concern. Several attempts have been focused on understanding the intricate complexity of the disease's development along with the on- andgoing search for novel therapeutic strategies. Incapability of existing AD drugs to effectively modulate the pathogenesis or to delay the progression of the disease leads to a shift in the paradigm of AD drug discovery. Efforts aimed at identifying AD drugs have mostly focused on the development of disease-modifying agents in which effects are believed to be long lasting. Of particular note, the secretase enzymes, a group of proteases responsible for the metabolism of the β-amyloid precursor protein (βAPP) and β-amyloid (Aβ) peptides production, have been underlined for their promising therapeutic potential. This review article attempts to comprehensively cover aspects related to the identification and use of drugs targeting the secretase enzymes. Particularly, the roles of secretases in the pathogenesis of AD and their therapeutic modulation are provided herein. Moreover, an overview of the drug development process and the contribution of computational (in silico) approaches for facilitating successful drug discovery are also highlighted along with examples of relevant computational works. Promising chemical scaffolds, inhibitors, and modulators against each class of secretases are also summarized herein. Additionally, multitarget secretase modulators are also taken into consideration in light of the current growing interest in the polypharmacology of complex diseases. Finally, challenging issues and future outlook relevant to the discovery of drugs targeting secretases are also discussed.