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Cited by 244

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Mechanisms of amyloid fibril self‐assembly and inhibition: Model short peptides as a key research tool

Gazit, Ehud·2005·The FEBS Journal

Abstract

The formation of amyloid fibrils is associated with various human medical disorders of unrelated origin. Recent research indicates that self‐assembled amyloid fibrils are also involved in physiological processes in several micro‐organisms. Yet, the molecular basis for the recognition and self‐assembly processes mediating the formation of such structures from their soluble protein precursors is not fully understood. Short peptide models have provided novel insight into the mechanistic issues of amyloid formation, revealing that very short peptides (as short as a tetrapeptide) contain all the necessary molecular information for forming typical amyloid fibrils. A careful analysis of short peptides has not only facilitated the identification of molecular recognition modules that promote the interaction and self‐assembly of fibrils but also revealed that aromatic interactions are important in many cases of amyloid formation. The realization of the role of aromatic moieties in fibril formation is currently being used to develop novel inhibitors that can serve as therapeutic agents to treat amyloid‐associated disorders.

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Crossref · 10.1111/j.1742-4658.2005.05022.x

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Metadata

Authors
Gazit, E.
Venue
The FEBS Journal
Publisher
Wiley
Published
2005-11-16
Volume
272
Issue
23
Pages
5971-5978
ISSN
  • 1742-464X (ISSN-L)
  • 1742-4658
OpenAlex
W1603607205
Cited by
244
References
4
FWCI
5.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mechanisms of amyloid fibril self‐assembly and inhibition: Model short peptides as a key research tool. https://app.cochat.ai/papers/10.1111/j.1742-4658.2005.05022.x
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Gazit, E. (2005). Mechanisms of amyloid fibril self‐assembly and inhibition: Model short peptides as a key research tool. The FEBS Journal. https://doi.org/10.1111/j.1742-4658.2005.05022.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.