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The Structural Basis of Antibody-Antigen Recognition

Overview of attention for article published in Frontiers in immunology, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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1 news outlet
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5 X users
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61 patents
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5 Wikipedia pages

Citations

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392 Dimensions

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1022 Mendeley
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Title
The Structural Basis of Antibody-Antigen Recognition
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00302
Pubmed ID
Authors

Inbal Sela-Culang, Vered Kunik, Yanay Ofran

Abstract

The function of antibodies (Abs) involves specific binding to antigens (Ags) and activation of other components of the immune system to fight pathogens. The six hypervariable loops within the variable domains of Abs, commonly termed complementarity determining regions (CDRs), are widely assumed to be responsible for Ag recognition, while the constant domains are believed to mediate effector activation. Recent studies and analyses of the growing number of available Ab structures, indicate that this clear functional separation between the two regions may be an oversimplification. Some positions within the CDRs have been shown to never participate in Ag binding and some off-CDRs residues often contribute critically to the interaction with the Ag. Moreover, there is now growing evidence for non-local and even allosteric effects in Ab-Ag interaction in which Ag binding affects the constant region and vice versa. This review summarizes and discusses the structural basis of Ag recognition, elaborating on the contribution of different structural determinants of the Ab to Ag binding and recognition. We discuss the CDRs, the different approaches for their identification and their relationship to the Ag interface. We also review what is currently known about the contribution of non-CDRs regions to Ag recognition, namely the framework regions (FRs) and the constant domains. The suggested mechanisms by which these regions contribute to Ag binding are discussed. On the Ag side of the interaction, we discuss attempts to predict B-cell epitopes and the suggested idea to incorporate Ab information into B-cell epitope prediction schemes. Beyond improving the understanding of immunity, characterization of the functional role of different parts of the Ab molecule may help in Ab engineering, design of CDR-derived peptides, and epitope prediction.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,022 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Brazil 2 <1%
Switzerland 1 <1%
Germany 1 <1%
Unknown 1013 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 205 20%
Student > Bachelor 177 17%
Researcher 140 14%
Student > Master 128 13%
Student > Doctoral Student 45 4%
Other 91 9%
Unknown 236 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 266 26%
Agricultural and Biological Sciences 174 17%
Chemistry 74 7%
Immunology and Microbiology 66 6%
Engineering 41 4%
Other 143 14%
Unknown 258 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 13 February 2024.
All research outputs
#1,490,872
of 25,576,801 outputs
Outputs from Frontiers in immunology
#1,314
of 31,990 outputs
Outputs of similar age
#12,864
of 289,927 outputs
Outputs of similar age from Frontiers in immunology
#10
of 503 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,990 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 95% 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 289,927 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.