ArticleCell reports2024
Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions.
Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed.
- Article
- Prediction of antibody non-specificity using protein language models and biophysical parameters.mAbs · 2026Article
- Efficient inference of non-polyreactive antibody variants dependent on local fine-tuning.mAbs · 2026Article
- Charge-driven antiviral responses enhance autoreactivity in severe COVID-19.Research square · 2026Article
- Impact of heme on the therapeutic efficacy of anti-CD20 antibodies.The Journal of biological chemistry · 2026Article
- Antibody Polyreactivity: A Challenger of Immune Paradigms.Immunology · 2025Review
- Enhancing polyreactivity prediction of preclinical antibodies through fine-tuned protein language models.Journal of pharmaceutical analysis · 2025Article
- Article
- Article
- Article
- Unique characteristics of autoantibodies targeting MET in patients with breast and lung cancer.JCI insight · 2025Article
- Directed evolution of drug-like Aβ conformation-specific antibodies.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Although antibody variable regions mediate antigen-specific binding, they can also mediate non-specific interactions with non-cognate antigens, impacting diverse immunological processes and the efficacy, safety, and half-life of antibody therapeutics. To understand the molecular basis of antibody non-specificity, we sorted two dissimilar human naïve antibody libraries against multiple reagents to enrich for variants with different levels of polyreactivity. Sequence analysis of >300,000 paired antibody variable regions revealed that the heavy chain primarily mediates human antibody polyreactivity, and this is due to the high positive charge, high hydrophobicity, and combinations thereof in the corresponding complementarity-determining regions, which can be predicted using a machine learning model developed in this work. Notably, a subset of the most important features governing antibody non-specific interactions, namely those that contain tyrosine, also govern specific antigen recognition. Our findings are broadly relevant for understanding fundamental aspects of antibody molecular recognition and the applied aspects of antibody-drug design.
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Registered trials
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