Frontiers in Chemistry · 2018 · 51 citations · 46 references
Life SciencesBiochemistryPharmacologyDrug DesignDrug DiscoveryStructural BiologyAmyloid FormationPeptide ChemistryPeptide Drug DiscoveryProtein StructureAmyloid Beta PeptidesAmyloid FibrilsAmyloid InhibitionBeta-sheet FormationBeta-sheet Rich StructuresCircular Dichroism AnalysisCircular Dichroism Spectroscopy AnalysisInhibition Of Amyloid Formation
Inhibition of fibrillation process and disaggregation of mature fibrils using small peptide are the promising remedial strategies to combat neurodegenerative diseases. However, designing peptide-based drugs to target β-sheet-rich amyloid has been a major challenge. The current work describes, for the first time, the amyloid inhibitory potential of the two short peptides (selected on the basis of predisposition of their amino acid residues toward β-sheet formation) using combination of biophysical, imaging methods, and docking approaches. Results showed that peptides employed different mechanisms to inhibit the amyloid fibrillation. Furthermore, they were also effective in blocking the amyloid fibrillation pathway. In contrary to the insulin fibrillar mesh, significantly less fibrillar species appeared in the presence of peptides, as confirmed by transmission electron microscopy. Circular dichroism analysis indicated that although peptides did not stabilize the native state of insulin, they inhibited amyloid aggregation by reducing the formation of β-sheet rich structures. Hemolytic assay revealed the non-hemolytic nature of the species formed when insulin was co-incubated with the peptides. Therefore, despite the inherent potential to form β-sheet structure, these peptides inhibited the amyloid formation and potentially can be used as therapeutics for the treatment of amyloid-related diseases.
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Amyloid pores from pathogenic mutations
Hilal A. Lashuel, Dean M. Hartley, Benjamin M. Petre et al. · Nature · 2002 · 1.3K citations · Full text
Rationalization of the effects of mutations on peptide andprotein aggregation rates
Fabrizio Chiti, Massimo Stefani, Niccolò Taddei et al. · Nature · 2003 · 1.1K citations