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Engineering a Therapeutic Lectin by Uncoupling Mitogenicity from Antiviral Activity

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
32 news outlets
blogs
5 blogs
twitter
22 X users
patent
2 patents
peer_reviews
1 peer review site
facebook
6 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Engineering a Therapeutic Lectin by Uncoupling Mitogenicity from Antiviral Activity
Published in
Cell, October 2015
DOI 10.1016/j.cell.2015.09.056
Pubmed ID
Authors

Michael D. Swanson, Daniel M. Boudreaux, Loïc Salmon, Jeetender Chugh, Harry C. Winter, Jennifer L. Meagher, Sabine André, Paul V. Murphy, Stefan Oscarson, René Roy, Steven King, Mark H. Kaplan, Irwin J. Goldstein, E. Bart Tarbet, Brett L. Hurst, Donald F. Smee, Cynthia de la Fuente, Hans-Heinrich Hoffmann, Yi Xue, Charles M. Rice, Dominique Schols, J. Victor Garcia, Jeanne A. Stuckey, Hans-Joachim Gabius, Hashim M. Al-Hashimi, David M. Markovitz

Abstract

A key effector route of the Sugar Code involves lectins that exert crucial regulatory controls by targeting distinct cellular glycans. We demonstrate that a single amino-acid substitution in a banana lectin, replacing histidine 84 with a threonine, significantly reduces its mitogenicity, while preserving its broad-spectrum antiviral potency. X-ray crystallography, NMR spectroscopy, and glycocluster assays reveal that loss of mitogenicity is strongly correlated with loss of pi-pi stacking between aromatic amino acids H84 and Y83, which removes a wall separating two carbohydrate binding sites, thus diminishing multivalent interactions. On the other hand, monovalent interactions and antiviral activity are preserved by retaining other wild-type conformational features and possibly through unique contacts involving the T84 side chain. Through such fine-tuning, target selection and downstream effects of a lectin can be modulated so as to knock down one activity, while preserving another, thus providing tools for therapeutics and for understanding the Sugar Code.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 128 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 16%
Researcher 21 16%
Student > Bachelor 17 13%
Student > Master 11 8%
Student > Doctoral Student 10 8%
Other 23 18%
Unknown 27 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 24%
Biochemistry, Genetics and Molecular Biology 28 22%
Chemistry 14 11%
Immunology and Microbiology 8 6%
Engineering 5 4%
Other 12 9%
Unknown 32 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 277. 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 19 September 2023.
All research outputs
#128,814
of 25,377,790 outputs
Outputs from Cell
#730
of 17,168 outputs
Outputs of similar age
#1,670
of 294,223 outputs
Outputs of similar age from Cell
#10
of 171 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. 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 294,223 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 99% of its contemporaries.
We're also able to compare this research output to 171 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 94% of its contemporaries.