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Self-sorting heterodimeric coiled coil peptides with defined and tuneable self-assembly properties

Overview of attention for article published in Scientific Reports, September 2015
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Title
Self-sorting heterodimeric coiled coil peptides with defined and tuneable self-assembly properties
Published in
Scientific Reports, September 2015
DOI 10.1038/srep14063
Pubmed ID
Authors

Christopher Aronsson, Staffan Dånmark, Feng Zhou, Per Öberg, Karin Enander, Haibin Su, Daniel Aili

Abstract

Coiled coils with defined assembly properties and dissociation constants are highly attractive components in synthetic biology and for fabrication of peptide-based hybrid nanomaterials and nanostructures. Complex assemblies based on multiple different peptides typically require orthogonal peptides obtained by negative design. Negative design does not necessarily exclude formation of undesired species and may eventually compromise the stability of the desired coiled coils. This work describe a set of four promiscuous 28-residue de novo designed peptides that heterodimerize and fold into parallel coiled coils. The peptides are non-orthogonal and can form four different heterodimers albeit with large differences in affinities. The peptides display dissociation constants for dimerization spanning from the micromolar to the picomolar range. The significant differences in affinities for dimerization make the peptides prone to thermodynamic social self-sorting as shown by thermal unfolding and fluorescence experiments, and confirmed by simulations. The peptides self-sort with high fidelity to form the two coiled coils with the highest and lowest affinities for heterodimerization. The possibility to exploit self-sorting of mutually complementary peptides could hence be a viable approach to guide the assembly of higher order architectures and a powerful strategy for fabrication of dynamic and tuneable nanostructured materials.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 <1%
Germany 1 <1%
Unknown 125 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 31%
Researcher 19 15%
Student > Master 16 13%
Student > Doctoral Student 10 8%
Student > Bachelor 8 6%
Other 15 12%
Unknown 20 16%
Readers by discipline Count As %
Chemistry 38 30%
Biochemistry, Genetics and Molecular Biology 29 23%
Agricultural and Biological Sciences 16 13%
Medicine and Dentistry 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 12 9%
Unknown 25 20%
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 16 September 2015.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Scientific Reports
#105,303
of 123,244 outputs
Outputs of similar age
#225,742
of 268,887 outputs
Outputs of similar age from Scientific Reports
#1,760
of 2,140 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,244 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% 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 268,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,140 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.