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Engineering the surface properties of a human monoclonal antibody prevents self-association and rapid clearance in vivo

Overview of attention for article published in Scientific Reports, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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5 X users
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3 patents

Citations

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93 Dimensions

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212 Mendeley
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Title
Engineering the surface properties of a human monoclonal antibody prevents self-association and rapid clearance in vivo
Published in
Scientific Reports, December 2016
DOI 10.1038/srep38644
Pubmed ID
Authors

Claire L. Dobson, Paul W. A. Devine, Jonathan J. Phillips, Daniel R. Higazi, Christopher Lloyd, Bojana Popovic, Joanne Arnold, Andrew Buchanan, Arthur Lewis, Joanne Goodman, Christopher F. van der Walle, Peter Thornton, Lisa Vinall, David Lowne, Anna Aagaard, Lise-Lotte Olsson, Anna Ridderstad Wollberg, Fraser Welsh, Theodoros K. Karamanos, Clare L. Pashley, Matthew G. Iadanza, Neil A. Ranson, Alison E. Ashcroft, Alistair D. Kippen, Tristan J. Vaughan, Sheena E. Radford, David C. Lowe

Abstract

Uncontrolled self-association is a major challenge in the exploitation of proteins as therapeutics. Here we describe the development of a structural proteomics approach to identify the amino acids responsible for aberrant self-association of monoclonal antibodies and the design of a variant with reduced aggregation and increased serum persistence in vivo. We show that the human monoclonal antibody, MEDI1912, selected against nerve growth factor binds with picomolar affinity, but undergoes reversible self-association and has a poor pharmacokinetic profile in both rat and cynomolgus monkeys. Using hydrogen/deuterium exchange and cross-linking-mass spectrometry we map the residues responsible for self-association of MEDI1912 and show that disruption of the self-interaction interface by three mutations enhances its biophysical properties and serum persistence, whilst maintaining high affinity and potency. Immunohistochemistry suggests that this is achieved via reduction of non-specific tissue binding. The strategy developed represents a powerful and generic approach to improve the properties of therapeutic proteins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Researcher 42 20%
Student > Bachelor 23 11%
Student > Master 17 8%
Other 14 7%
Other 20 9%
Unknown 54 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 58 27%
Agricultural and Biological Sciences 30 14%
Chemistry 18 8%
Pharmacology, Toxicology and Pharmaceutical Science 12 6%
Immunology and Microbiology 11 5%
Other 27 13%
Unknown 56 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 November 2022.
All research outputs
#4,235,240
of 24,811,594 outputs
Outputs from Scientific Reports
#33,714
of 135,758 outputs
Outputs of similar age
#78,574
of 431,932 outputs
Outputs of similar age from Scientific Reports
#961
of 3,715 outputs
Altmetric has tracked 24,811,594 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 135,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has gotten more attention than average, scoring higher than 74% 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 431,932 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 81% of its contemporaries.
We're also able to compare this research output to 3,715 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.