↓ Skip to main content

Structural and Thermodynamic Approach to Peptide Immunogenicity

Overview of attention for article published in PLoS Computational Biology, November 2008
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog
reddit
1 Redditor

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Structural and Thermodynamic Approach to Peptide Immunogenicity
Published in
PLoS Computational Biology, November 2008
DOI 10.1371/journal.pcbi.1000231
Pubmed ID
Authors

Carlos J. Camacho, Yasuhiro Katsumata, Dana P. Ascherman

Abstract

In the conventional paradigm of humoral immunity, B cells recognize their cognate antigen target in its native form. However, it is well known that relatively unstable peptides bearing only partial structural resemblance to the native protein can trigger antibodies recognizing higher-order structures found in the native protein. On the basis of sound thermodynamic principles, this work reveals that stability of immunogenic proteinlike motifs is a critical parameter rationalizing the diverse humoral immune responses induced by different linear peptide epitopes. In this paradigm, peptides with a minimal amount of stability (DeltaG(x)<0 kcal/mol) around a proteinlike motif (x) are capable of inducing antibodies with similar affinity for both peptide and native protein, more weakly stable peptides (DeltaG(x)>0 kcal/mol) trigger antibodies recognizing full protein but not peptide, and unstable peptides (DeltaG(x)>8 kcal/mol) fail to generate antibodies against either peptide or protein. Immunization experiments involving peptides derived from the autoantigen histidyl-tRNA synthetase verify that selected peptides with varying relative stabilities predicted by molecular dynamics simulations induce antibody responses consistent with this theory. Collectively, these studies provide insight pertinent to the structural basis of immunogenicity and, at the same time, validate this form of thermodynamic and molecular modeling as an approach to probe the development/evolution of humoral immune responses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Germany 1 1%
Korea, Republic of 1 1%
Portugal 1 1%
Italy 1 1%
Ireland 1 1%
United Kingdom 1 1%
Sweden 1 1%
Unknown 65 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 29%
Researcher 19 25%
Student > Master 10 13%
Student > Bachelor 7 9%
Professor 3 4%
Other 10 13%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Biochemistry, Genetics and Molecular Biology 12 16%
Chemistry 11 14%
Computer Science 6 8%
Engineering 5 7%
Other 11 14%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 December 2008.
All research outputs
#6,377,478
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,356
of 8,964 outputs
Outputs of similar age
#39,376
of 181,208 outputs
Outputs of similar age from PLoS Computational Biology
#15
of 42 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 51% 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 181,208 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 42 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 64% of its contemporaries.