Evidence map›Paper›PMID 23922927›Full record

ArticlePloS one2013

Recognition of higher order patterns in proteins: immunologic kernels.

Robert D Bremel, E Jane Homan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Probing theBiomedicines · 2021
    Article
  5. Article
  6. CD4Frontiers in immunology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Metazoan Parasite Vaccines: Present Status and Future Prospects.Frontiers in cellular and infection microbiology · 2018
    Review
  11. Frontiers in immunology · 2018
    Article
  12. Article
  13. Article
  14. Review
  15. Frontiers in immunology · 2017
    Article
  16. Article
  17. Article
  18. Review
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

2 authors at 1 institution in 1 country.

Robert D BremelioGenetics LLC, Madison, Wisconsin, United States of America. robert_bremel@iogenetics.com
E Jane Homan
ioGenetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By applying analysis of the principal components of amino acid physical properties we predicted cathepsin cleavage sites, MHC binding affinity, and probability of B-cell epitope binding of peptides in tetanus toxin and in ten diverse additional proteins. Cross-correlation of these metrics, for peptides of all possible amino acid index positions, each evaluated in the context of a ±25 amino acid flanking region, indicated that there is a strongly repetitive pattern of short peptides of approximately thirty amino acids each bounded by cathepsin cleavage sites and each comprising B-cell linear epitopes, MHC-I and MHC-II binding peptides. Such "immunologic kernel" peptides comprise all signals necessary for adaptive immunologic cognition, response and recall. The patterns described indicate a higher order spatial integration that forms a symbolic logic coordinating the adaptive immune system.

Indexed as

B-LymphocytesCathepsinsCluster AnalysisEpitopesEpitopes, B-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansModels, ImmunologicalPeptidesProtein BindingProteinsProteolysisTetanus ToxinCathepsinsEpitopesEpitopes, B-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIPeptidesProteinsTetanus Toxin

Identifiers

PMID23922927
PMCPMC3726486
OpenAlexW1999361720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.