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Multi-potent Natural Scaffolds Targeting Amyloid Cascade: In Search of Alzheimer's Disease Therapeutics

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Alzheimer's Disease (AD) once considered a rare disorder emerges as a major health concern in recent times. The disease pathogenesis is very complex and yet to be understood completely. However, “Amyloid Cascade” is the central event in disease pathogenesis. Several proteins of the amyloid cascade are currently being considered as potential targets for AD therapeutics discovery. Many potential compounds are in clinical trials, but till now there is no known cure for the disease. Recent years have witnessed remarkable research interest in the search of novel concepts in drug designing for AD. Multi-targeted ligand design is a paradigm shift in conventional drug discovery. In this process rather than designing ligands targeting a single receptor, novel ligands have been designed/ synthesized that can simultaneously target many pathways involved in disease pathogenesis. Here, recent developments in computational drug designing protocols to identify multi-targeted ligand for AD have been discussed. Therapeutic potential of different multi-potent compounds also has been discussed briefly. Prime emphasis has been given to multi-potent ligand from natural resources. Polyphenols are an interesting group of compounds which show efficacy against a wide range of disease and have the property to exhibit multi-potency. Several groups attempted to identify novel multi-potent phytochemicals for AD therapy. Multi-potency of several polyphenols or compounds synthesized using the poly-phenolic scaffolds have been briefly discussed here. However, the multi-targeted drug designing for AD is still in early stages, more advancement in drug designing method/algorithm developments is urgently required to discover more efficient compounds for AD therapeutics.
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Keywords: Alzheimer's disease; Amyloid cascade; Antioxidant; Aβ aggregation; BACE1; Multi-target drug designing; Phytochemicals; Structure and ligand based drug design

Document Type: Review Article

Publication date: December 1, 2017

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