ArticleeLife2020
Biochemical patterns of antibody polyreactivity revealed through a bioinformatics-based analysis of CDR loops.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed, 53 citations in OpenAlex.
- Prediction of antibody non-specificity using protein language models and biophysical parameters.mAbs · 2026Article
- Charge-driven antiviral responses enhance autoreactivity in severe COVID-19.Research square · 2026Article
- VDJ-REMIX: REpertoire Module Identification and eXploration.Bioinformatics (Oxford, England) · 2026Article
- Unique phenotypic and T cell receptor characteristics of CD8Scientific reports · 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
- Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning.Nucleic acids research · 2025Article
- Article
- Antibodies and cryptographic hash functions: quantifying the specificity paradox.Frontiers in immunology · 2025Article
- Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions.Cell reports · 2024Article
- Protein language models enable prediction of polyreactivity of monospecific, bispecific, and heavy-chain-only antibodies.Antibody therapeutics · 2024Article
- Single-domain antibodies against SARS-CoV-2 RBD from a two-stage phage screening of universal and focused synthetic libraries.BMC infectious diseases · 2024Article
- A Refined Human Linear B Cell Epitope Map of Outer Surface Protein C (OspC) From the Lyme Disease Spirochete,Pathogens & immunity · 2024Article
- Biochemical and biophysical characterization of natural polyreactivity in antibodies.Cell reports · 2023Article
- Article
- An integrated approach to the characterization of immune repertoires using AIMS: An Automated Immune Molecule Separator.PLoS computational biology · 2023Article
- SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain.Communications biology · 2023Article
- SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain.Research square · 2023Article
- Broad responses to chemical adducts shape the natural antibody repertoire in early infancy.Science advances · 2023Article
- Polyreactivity of antibodies from different B-cell subpopulations is determined by distinct sequence patterns of variable region.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Antibodies are critical components of adaptive immunity, binding with high affinity to pathogenic epitopes. Antibodies undergo rigorous selection to achieve this high affinity, yet some maintain an additional basal level of low affinity, broad reactivity to diverse epitopes, a phenomenon termed 'polyreactivity'. While polyreactivity has been observed in antibodies isolated from various immunological niches, the biophysical properties that allow for promiscuity in a protein selected for high-affinity binding to a single target remain unclear. Using a database of over 1000 polyreactive and non-polyreactive antibody sequences, we created a bioinformatic pipeline to isolate key determinants of polyreactivity. These determinants, which include an increase in inter-loop crosstalk and a propensity for a neutral binding surface, are sufficient to generate a classifier able to identify polyreactive antibodies with over 75% accuracy. The framework from which this classifier was built is generalizable, and represents a powerful, automated pipeline for future immune repertoire analysis.
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What OpenQuestion holds
Registered trials
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.