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Tailoring Supramolecular Peptide–Poly(ethylene glycol) Hydrogels by Coiled Coil Self-Assembly and Self-Sorting

Overview of attention for article published in Biomacromolecules, June 2016
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Title
Tailoring Supramolecular Peptide–Poly(ethylene glycol) Hydrogels by Coiled Coil Self-Assembly and Self-Sorting
Published in
Biomacromolecules, June 2016
DOI 10.1021/acs.biomac.6b00528
Pubmed ID
Authors

Staffan Dånmark, Christopher Aronsson, Daniel Aili

Abstract

Physical hydrogels are extensively used in a wide range of biomedical applications. However, different applications require hydrogels with different mechanical and structural properties. Tailoring these properties demands exquisite control over the supramolecular interactions involved. Here we show that it is possible to control the mechanical properties of hydrogels using de novo designed coiled coil peptides with different affinities for dimerization. Four different non-orthogonal peptides, designed to fold into four different coiled coil heterodimers with dissociation constants spanning from µM to pM, were conjugated to star-shaped 4-arm-poly(ethylene glycol) (PEG). The different PEG-coiled coil conjugates self-assemble as a result of peptide heterodimerization. Different combinations of PEG-peptide conjugates assemble into PEG-peptide networks and hydrogels with distinctly different thermal stabilities, supramolecular and rheological properties, reflecting the peptide dimer affinities. We also demonstrate that it is possible to rationally modulate the self-assembly process by means of thermodynamic self-sorting by sequential additions of non-pegylated peptides. The specific interactions involved in peptide dimerization thus provides means for programmable and reversible self-assembly of hydrogels with precise control over rheological properties, which can significantly facilitate optimization of their overall performance and adaption to different processing requirements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 32%
Researcher 10 15%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Professor 3 5%
Other 8 12%
Unknown 14 22%
Readers by discipline Count As %
Chemistry 14 22%
Materials Science 10 15%
Biochemistry, Genetics and Molecular Biology 9 14%
Engineering 7 11%
Chemical Engineering 4 6%
Other 8 12%
Unknown 13 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 08 June 2016.
All research outputs
#15,374,585
of 22,873,031 outputs
Outputs from Biomacromolecules
#3,501
of 4,408 outputs
Outputs of similar age
#211,713
of 339,287 outputs
Outputs of similar age from Biomacromolecules
#35
of 57 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 14th percentile – i.e., 14% 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 339,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.