Evidence map›Paper›PMID 34491198›Full record

ArticleeLife2021

Binding affinity landscapes constrain the evolution of broadly neutralizing anti-influenza antibodies.

Angela M Phillips, Katherine R Lawrence, Alief Moulana, Thomas Dupic, Jeffrey Chang, Milo S Johnson, Ivana Cvijovic, Thierry Mora, Aleksandra M Walczak, Michael M Desai

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

57 citing papers in PubMed, 82 citations in OpenAlex.

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  16. Epistatic drift in protein evolution.Current opinion in genetics & development · 2025
    Review
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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

10 authors at 3 institutions in 2 countries.

Angela M Phillips *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-9806-7574
Katherine R Lawrence *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Alief MoulanaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Thomas DupicDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Jeffrey ChangDepartment of Physics, Harvard University, Cambridge, United States.
Milo S JohnsonDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0003-0169-2494
Ivana CvijovicDepartment of Applied Physics, Stanford University, Stanford, United States.ORCID http://orcid.org/0000-0002-6272-2979
Thierry MoraLaboratoire de physique de ÍÉcole Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France.ORCID http://orcid.org/0000-0002-5456-9361
Aleksandra M WalczakLaboratoire de physique de ÍÉcole Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France.ORCID http://orcid.org/0000-0002-2686-5702
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-9581-1150
Harvard University · USCentre National de la Recherche Scientifique · FRStanford University · US

Funding

Microbial Adaptation and the Statistics of Epistasis and PleiotropyR01GM104239 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M · 2013 to 2025
$4.5M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM104239
6 · The paper itself

Abstract

Over the past two decades, several broadly neutralizing antibodies (bnAbs) that confer protection against diverse influenza strains have been isolated. Structural and biochemical characterization of these bnAbs has provided molecular insight into how they bind distinct antigens. However, our understanding of the evolutionary pathways leading to bnAbs, and thus how best to elicit them, remains limited. Here, we measure equilibrium dissociation constants of combinatorially complete mutational libraries for two naturally isolated influenza bnAbs (CR9114, 16 heavy-chain mutations; CR6261, 11 heavy-chain mutations), reconstructing all possible evolutionary intermediates back to the unmutated germline sequences. We find that these two libraries exhibit strikingly different patterns of breadth: while many variants of CR6261 display moderate affinity to diverse antigens, those of CR9114 display appreciable affinity only in specific, nested combinations. By examining the extensive pairwise and higher order epistasis between mutations, we find key sites with strong synergistic interactions that are highly similar across antigens for CR6261 and different for CR9114. Together, these features of the binding affinity landscapes strongly favor sequential acquisition of affinity to diverse antigens for CR9114, while the acquisition of breadth to more similar antigens for CR6261 is less constrained. These results, if generalizable to other bnAbs, may explain the molecular basis for the widespread observation that sequential exposure favors greater breadth, and such mechanistic insight will be essential for predicting and eliciting broadly protective immune responses.

Indexed as

Antibody AffinityAnimalsAntibodies, ViralAntigens, ViralBroadly Neutralizing AntibodiesCell LineEpistasis, GeneticHumansInfluenza VaccinesMutationOrthomyxoviridaeAntibodies, ViralAntigens, ViralBroadly Neutralizing AntibodiesInfluenza Vaccinesantibodybreadthepistasisevolutionevolutionary biologyinfluenzalandscapeS. cerevisiae

Identifiers

PMID34491198
PMCPMC8476123
OpenAlexW3198724845

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.