Evidence map›Paper›PMID 35892703›Full record

ArticleAntibodies (Basel, Switzerland)2022

The Binding Landscape of Serum Antibodies: How Physical and Mathematical Concepts Can Advance Systems Immunology.

József Prechl, Krisztián Papp, Ágnes Kovács, Tamás Pfeil

Abstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

József PrechlR&D Laboratory, Diagnosticum Zrt, 1047 Budapest, Hungary.ORCID 0000-0003-3859-4353
Krisztián PappR&D Laboratory, Diagnosticum Zrt, 1047 Budapest, Hungary.
Ágnes KovácsDepartment of Applied Analysis and Computational Mathematics, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0002-3588-2854
Tamás PfeilDepartment of Applied Analysis and Computational Mathematics, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0001-5971-3257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies constitute a major component of serum on protein mass basis. We also know that the structural diversity of these antibodies exceeds that of all other proteins in the body and they react with an immense number of molecular targets. What we still cannot quantitatively describe is how antibody abundance is related to affinity, specificity, and cross reactivity. This ignorance has important practical consequences: we also do not have proper biochemical units for characterizing polyclonal serum antibody binding. The solution requires both a theoretical foundation, a physical model of the system, and technology for the experimental confirmation of theory. Here we argue that the quantitative characterization of interactions between serum antibodies and their targets requires systems-level physical chemistry approach and generates results that should help create maps of antibody binding landscape.

Indexed as

antibodychemical potentialdifferential equationlogistic functionsystem

Identifiers

PMID35892703
PMCPMC9326739

What OpenQuestion holds

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LicenceCC BY
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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.