Application of an Electrochemical Method to Evaluation of Amyloid-β Aggregation Inhibitors: Testing the RGKLVFFGR-NH2Peptide Antiaggregant

2017 ◽  
Vol 29 (12) ◽  
pp. 2906-2912 ◽  
Author(s):  
Elena V. Suprun ◽  
Sergey P. Radko ◽  
Tatiana E. Farafonova ◽  
Vladimir A. Mitkevich ◽  
Alexander A. Makarov ◽  
...  
2021 ◽  
pp. 116357
Author(s):  
Rohmad Yudi Utomo ◽  
Yasunobu Asawa ◽  
Satoshi Okada ◽  
Hyun Seung Ban ◽  
Atsushi Yoshimori ◽  
...  

2020 ◽  
Vol 101 ◽  
pp. 104012 ◽  
Author(s):  
Stefanie Deike ◽  
Sven Rothemund ◽  
Bruno Voigt ◽  
Suman Samantray ◽  
Birgit Strodel ◽  
...  

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Lilly Aswathy ◽  
Radhakrishnan S. Jisha ◽  
Vijay H. Masand ◽  
Jayant M. Gajbhiye ◽  
Indira G. Shibi

2021 ◽  
Vol 118 (4) ◽  
pp. e2023089118 ◽  
Author(s):  
Ujjayini Ghosh ◽  
Kent R. Thurber ◽  
Wai-Ming Yau ◽  
Robert Tycko

Amyloid-β (Aβ) fibrils exhibit self-propagating, molecular-level polymorphisms that may contribute to variations in clinical and pathological characteristics of Alzheimer’s disease (AD). We report the molecular structure of a specific fibril polymorph, formed by 40-residue Aβ peptides (Aβ40), that is derived from cortical tissue of an AD patient by seeded fibril growth. The structure is determined from cryogenic electron microscopy (cryoEM) images, supplemented by mass-per-length (MPL) measurements and solid-state NMR (ssNMR) data. Previous ssNMR studies with multiple AD patients had identified this polymorph as the most prevalent brain-derived Aβ40 fibril polymorph from typical AD patients. The structure, which has 2.8-Å resolution according to standard criteria, differs qualitatively from all previously described Aβ fibril structures, both in its molecular conformations and its organization of cross-β subunits. Unique features include twofold screw symmetry about the fibril growth axis, despite an MPL value that indicates three Aβ40 molecules per 4.8-Å β-sheet spacing, a four-layered architecture, and fully extended conformations for molecules in the central two cross-β layers. The cryoEM density, ssNMR data, and MPL data are consistent with β-hairpin conformations for molecules in the outer cross-β layers. Knowledge of this brain-derived fibril structure may contribute to the development of structure-specific amyloid imaging agents and aggregation inhibitors with greater diagnostic and therapeutic utility.


2020 ◽  
Vol 21 (3) ◽  
pp. 703 ◽  
Author(s):  
Varnavas D. Mouchlis ◽  
Georgia Melagraki ◽  
Lefteris C. Zacharia ◽  
Antreas Afantitis

Aging-associated neurodegenerative diseases, which are characterized by progressive neuronal death and synapses loss in human brain, are rapidly growing affecting millions of people globally. Alzheimer’s is the most common neurodegenerative disease and it can be caused by genetic and environmental risk factors. This review describes the amyloid-β and Tau hypotheses leading to amyloid plaques and neurofibrillary tangles, respectively which are the predominant pathways for the development of anti-Alzheimer’s small molecule inhibitors. The function and structure of the druggable targets of these two pathways including β-secretase, γ-secretase, and Tau are discussed in this review article. Computer-Aided Drug Design including computational structure-based design and ligand-based design have been employed successfully to develop inhibitors for biomolecular targets involved in Alzheimer’s. The application of computational molecular modeling for the discovery of small molecule inhibitors and modulators for β-secretase and γ-secretase is summarized. Examples of computational approaches employed for the development of anti-amyloid aggregation and anti-Tau phosphorylation, proteolysis and aggregation inhibitors are also reported.


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