Evidence map›Paper›PMID 20212159›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Maximum entropy models for antibody diversity.

Thierry Mora, Aleksandra M Walczak, William Bialek, Curtis G Callan

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

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  6. Statistical physics of large-scale neural activity with loops.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Dynamical theory of complex systems with two-way micro-macro causation.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  12. Valence and interactions in judicial voting.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
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  14. Review
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74 more citing papers are in PubMed but not listed here.

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

4 authors.

Thierry MoraJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Aleksandra M Walczak
William Bialek
Curtis G Callan

Funding

NIGMS NIH HHS P50 GM071598
6 · The paper itself

Abstract

Recognition of pathogens relies on families of proteins showing great diversity. Here we construct maximum entropy models of the sequence repertoire, building on recent experiments that provide a nearly exhaustive sampling of the IgM sequences in zebrafish. These models are based solely on pairwise correlations between residue positions but correctly capture the higher order statistical properties of the repertoire. By exploiting the interpretation of these models as statistical physics problems, we make several predictions for the collective properties of the sequence ensemble: The distribution of sequences obeys Zipf's law, the repertoire decomposes into several clusters, and there is a massive restriction of diversity because of the correlations. These predictions are completely inconsistent with models in which amino acid substitutions are made independently at each site and are in good agreement with the data. Our results suggest that antibody diversity is not limited by the sequences encoded in the genome and may reflect rapid adaptation to antigenic challenges. This approach should be applicable to the study of the global properties of other protein families.

Indexed as

Antibody DiversityModels, ImmunologicalAmino Acid SequenceAnimalsBase SequenceBiophysical PhenomenaDNAEntropyEvolution, MolecularImmunoglobulin MZebrafishZebrafish ProteinsDNAImmunoglobulin MZebrafish Proteins

Identifiers

PMID20212159
PMCPMC2851784

What OpenQuestion holds

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Registered trials

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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.