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Design and optimization of peptide nanoparticles

Overview of attention for article published in Journal of Nanobiotechnology, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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2 X users
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2 patents
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1 Google+ user

Citations

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78 Mendeley
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Title
Design and optimization of peptide nanoparticles
Published in
Journal of Nanobiotechnology, October 2015
DOI 10.1186/s12951-015-0119-z
Pubmed ID
Authors

Tais A. P. F. Doll, Raja Dey, Peter Burkhard

Abstract

Various supra-molecular structures form by self-assembly of proteins in a symmetric fashion. Examples of such structures are viruses, some bacterial micro-compartments and eukaryotic vaults. Peptide/protein-based nanoparticles are emerging in synthetic biology for a variety of biomedical applications, mainly as drug targeting and delivery systems or as vaccines. Our self-assembling peptide nanoparticles (SAPNs) are formed by a single peptide chain that consists of two helical coiled-coil segments connected by a short linker region. One helix is forming a pentameric coiled coil while the other is forming a trimeric coiled coil. Here, we were studying in vitro and in silico the effect of the chain length and of point mutations near the linker region between the pentamer and the trimer on the self-assembly of the SAPNs. 60 identical peptide chains co-assemble to form a spherical nanoparticle displaying icosahedral symmetry. We have stepwise reduced the size of the protein chain to a minimal chain length of 36 amino acids. We first used biochemical and biophysical methods on the longer constructs followed by molecular dynamics simulations to study eleven different smaller peptide constructs. We have identified one peptide that shows the most promising mini-nanoparticle model in silico. An approach of in silico modeling combined with in vitro testing and verification yielded promising peptide designs: at a minimal chain length of only 36 amino acids they were able to self-assemble into proper nanoparticles. This is important since the production cost increases more than linearly with chain length. Also the size of the nanoparticles is significantly smaller than 20 nm, thus reducing the immunogenicity of the particles, which in turn may allow to use the SAPNs as drug delivery systems without the risk of an anaphylactic shock.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
China 1 1%
Egypt 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Student > Master 13 17%
Researcher 12 15%
Student > Bachelor 10 13%
Student > Doctoral Student 3 4%
Other 9 12%
Unknown 10 13%
Readers by discipline Count As %
Chemistry 16 21%
Biochemistry, Genetics and Molecular Biology 14 18%
Agricultural and Biological Sciences 14 18%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Chemical Engineering 3 4%
Other 13 17%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 May 2022.
All research outputs
#6,049,627
of 22,830,751 outputs
Outputs from Journal of Nanobiotechnology
#194
of 1,418 outputs
Outputs of similar age
#75,305
of 283,725 outputs
Outputs of similar age from Journal of Nanobiotechnology
#4
of 15 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,418 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% of its peers.
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 283,725 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.