Evidence map›Paper›PMID 36582502›Full record

ArticleVirus evolution2022

A biophysical model of viral escape from polyclonal antibodies.

Timothy C Yu, Zorian T Thornton, William W Hannon, William S DeWitt, Caelan E Radford, Frederick A Matsen, Jesse D Bloom

Abstract read
In one paragraph

Article in Virus evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Recurrent mutations drive rapid HIV escape from two broadly neutralizing antibodies in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Constrained evolutionary funnels shape viral immune escape.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Functional and antigenic constraints on the Nipah virus fusion protein.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Constrained Evolutionary Funnels Shape Viral Immune Escape.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Timothy C YuBasic Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Zorian T ThorntonComputational Biology Program, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
William W HannonBasic Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
William S DeWittComputational Biology Program, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Caelan E RadfordBasic Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Frederick A MatsenComputational Biology Program, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Jesse D BloomBasic Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Training in Cellular & Molecular BiologyT32GM136534 · NIGMS · UNIVERSITY OF WASHINGTON · PI Andrew Atwell Oberst, LARRY S ZWEIFEL · 2021 to 2026
$5.8M
Forecasting influenza evolution on a heterogeneous immune landscapeR01AI165821 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jesse D Bloom, JOHN HUDDLESTON · 2022 to 2026
$3.0M
Predoctoral Research Training in Statistical Genetics Administrative SupplementT32GM081062 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2007 to 2021
$2.4M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
Evolutionary dynamics of antibody affinity maturationF31AI150163 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DEWITT, WILLIAM S. · 2020 to 2022
$113k
NIAID NIH HHS 75N93021C00015NIAID NIH HHS F31 AI150163NIAID NIH HHS R01 AI141707NIAID NIH HHS R01 AI165821NIGMS NIH HHS T32 GM007270NIGMS NIH HHS T32 GM081062NIGMS NIH HHS T32 GM136534
6 · The paper itself

Abstract

A challenge in studying viral immune escape is determining how mutations combine to escape polyclonal antibodies, which can potentially target multiple distinct viral epitopes. Here we introduce a biophysical model of this process that partitions the total polyclonal antibody activity by epitope and then quantifies how each viral mutation affects the antibody activity against each epitope. We develop software that can use deep mutational scanning data to infer these properties for polyclonal antibody mixtures. We validate this software using a computationally simulated deep mutational scanning experiment and demonstrate that it enables the prediction of escape by arbitrary combinations of mutations. The software described in this paper is available at https://jbloomlab.github.io/polyclonal.

Indexed as

antibody epitopebiophysical modeldeep mutational scanningepistasisviral escape

Identifiers

PMID36582502
PMCPMC9793855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.