Evidence map›Paper›PMID 34646268›Full record

ArticleFrontiers in immunology2021

Regulatory Approved Monoclonal Antibodies Contain Framework Mutations Predicted From Human Antibody Repertoires.

Brian M Petersen, Sophia A Ulmer, Emily R Rhodes, Matias F Gutierrez-Gonzalez, Brandon J Dekosky, Kayla G Sprenger, Timothy A Whitehead

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Retrospective SARS-CoV-2 human antibody development trajectories are largely sparse and permissive.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. 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

7 authors.

Brian M PetersenDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, United States.
Sophia A UlmerDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, United States.
Emily R RhodesDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, United States.
Matias F Gutierrez-GonzalezDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS, United States.
Brandon J DekoskyDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS, United States.
Kayla G SprengerDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, United States.
Timothy A WhiteheadDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO, United States.

Funding

The influence of evolutionary landscapes on protective antibody developmentR01AI141452 · NIAID · UNIVERSITY OF COLORADO · PI WHITEHEAD, TIMOTHY ANDREW · 2019 to 2023
$2.8M
NIAID NIH HHS R01 AI141452
6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) are an important class of therapeutics used to treat cancer, inflammation, and infectious diseases. Identifying highly developable mAb sequences

Indexed as

Drug DevelopmentMutationAntibodies, MonoclonalDatabases, GeneticDNA Mutational AnalysisDrug ApprovalDrug StabilityEpitopes, T-LymphocyteHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionModels, GeneticMolecular Dynamics SimulationProtein StabilityUnited StatesUnited States Food and Drug AdministrationAntibodies, MonoclonalEpitopes, T-LymphocyteImmunoglobulin Heavy ChainsImmunoglobulin Variable Regionaffinity maturationantibody repertoiresantibody therapeuticsdeep sequencingdevelopabilitymonoclonal antibodiesprotein stabilitysomatic hypermutation

Identifiers

PMID34646268
PMCPMC8503325

What OpenQuestion holds

Textmetadata
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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.