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Switch‐Peptides: Design and Characterization of Controllable Super‐Amyloid‐Forming Host–Guest Peptides as Tools for Identifying Anti‐Amyloid Agents

Overview of attention for article published in ChemBioChem, August 2008
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Title
Switch‐Peptides: Design and Characterization of Controllable Super‐Amyloid‐Forming Host–Guest Peptides as Tools for Identifying Anti‐Amyloid Agents
Published in
ChemBioChem, August 2008
DOI 10.1002/cbic.200800245
Pubmed ID
Authors

Marie‐Stéphanie Camus, Sonia Dos Santos, Arunan Chandravarkar, Bhubaneswar Mandal, Adrian W. Schmid, Gabriele Tuchscherer, Manfred Mutter, Hilal A. Lashuel

Abstract

Several amyloid-forming proteins are characterized by the presence of hydrophobic and highly amyloidogenic core sequences that play critical roles in the initiation and progression of amyloid fibril formation. Therefore targeting these sequences represents a viable strategy for identifying candidate molecules that could interfere with amyloid formation and toxicity of the parent proteins. However, the highly amyloidogenic and insoluble nature of these sequences has hampered efforts to develop high-throughput fibrillization assays. Here we describe the design and characterization of host-guest switch peptides that can be used for in vitro mechanistic and screening studies that are aimed at discovering aggregation inhibitors that target highly amyloidogenic sequences. These model systems are based on a host-guest system where the amyloidogenic sequence (guest peptide) is flanked by two beta-sheet-promoting (Leu-Ser)(n) oligomers as host sequences. Two host-guest peptides were prepared by using the hydrophobic core of Abeta comprising residues 14-24 (HQKLVFFAEDV) as the guest peptide with switch elements inserted within (peptide 1) or at the N and C termini of the guest peptide (peptide 2). Both model peptides can be triggered to undergo rapid self-assembly and amyloid formation in a highly controllable manner and their fibrillization kinetics is tuneable by manipulating solution conditions (for example, peptide concentration and pH). The fibrillization of both peptides reproduces many features of the full-length Abeta peptides and can be inhibited by known inhibitors of Abeta fibril formation. Our results suggest that this approach can be extended to other amyloid proteins and should facilitate the discovery of small-molecule aggregation inhibitors and the development of more efficacious anti-amyloid agents to treat and/or reverse the pathogenesis of neurodegenerative and systemic amyloid diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Poland 1 3%
Germany 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Master 7 21%
Student > Ph. D. Student 5 15%
Professor 3 9%
Student > Bachelor 2 6%
Other 4 12%
Unknown 3 9%
Readers by discipline Count As %
Chemistry 10 29%
Agricultural and Biological Sciences 8 24%
Immunology and Microbiology 2 6%
Arts and Humanities 2 6%
Engineering 2 6%
Other 5 15%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2008.
All research outputs
#16,727,629
of 24,602,766 outputs
Outputs from ChemBioChem
#3,868
of 5,925 outputs
Outputs of similar age
#78,767
of 91,546 outputs
Outputs of similar age from ChemBioChem
#30
of 33 outputs
Altmetric has tracked 24,602,766 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,925 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 91,546 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.