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Cited by 440

The DOI matches its Crossref record; 152 of the 152 references it cites were found in a registry or an index.

Amyloid Polymorphism: Structural Basis and Neurobiological Relevance

Open access
Tycko, Robert·2015·Neuron

Abstract

Summary Our understanding of the molecular structures of amyloid fibrils that are associated with neurodegenerative diseases, of mechanisms by which disease-associated peptides and proteins aggregate into fibrils, and of structural properties of aggregation intermediates has advanced considerably in recent years. Detailed molecular structural models for certain fibrils and aggregation intermediates are now available. It is now well established that amyloid fibrils are generally polymorphic at the molecular level, with a given peptide or protein being capable of forming a variety of distinct, self-propagating fibril structures. Recent results from structural studies and from studies involving cell cultures, transgenic animals, and human tissue provide initial evidence that molecular structural variations in amyloid fibrils and related aggregates may correlate with or even produce variations in disease development. This article reviews our current knowledge of the structural and mechanistic aspects of amyloid formation, as well as current evidence for the biological relevance of structural variations.

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Crossref · 10.1016/j.neuron.2015.03.017

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Metadata

Authors
Tycko, R.
Venue
Neuron
Publisher
Elsevier BV
Published
2015-05
Volume
86
Issue
3
Pages
632-645
ISSN
0896-6273 (ISSN-L)
OpenAlex
W1528511554
Cited by
440
References
152
FWCI
22.81
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Amyloid Polymorphism: Structural Basis and Neurobiological Relevance. https://app.cochat.ai/papers/10.1016/j.neuron.2015.03.017
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Tycko, R. (2015). Amyloid Polymorphism: Structural Basis and Neurobiological Relevance. Neuron. https://doi.org/10.1016/j.neuron.2015.03.017

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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.