Evidence map›Paper›PMID 35834502›Full record

ArticleBiochemistry2022

CD4+ T-Cell Epitope Prediction by Combined Analysis of Antigen Conformational Flexibility and Peptide-MHCII Binding Affinity.

Tysheena Charles, Daniel L Moss, Pawan Bhat, Peyton W Moore, Nicholas A Kummer, Avik Bhattacharya, Samuel J Landry, Ramgopal R Mettu

Open access · hybridAbstract read
In one paragraph

Article in Biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. NovelJournal of fungi (Basel, Switzerland) · 2023
    Article
  10. De novo design of anti-variant COVID-19 vaccine.Biology methods & protocols · 2023
    Article
  11. Review
  12. Article
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

8 authors at 1 institution in 1 country.

Tysheena CharlesDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Daniel L MossDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0001-7639-7276
Pawan BhatDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Peyton W MooreDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Nicholas A KummerDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
Avik BhattacharyaDepartment of Computer Science, Tulane University, New Orleans, Louisiana 70118, United States.
Samuel J LandryDepartment of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0002-4082-0543
Ramgopal R MettuDepartment of Computer Science, Tulane University, New Orleans, Louisiana 70118, United States.ORCID 0000-0001-9479-9156
Tulane University · US

Funding

VASCULAR SMOOTH MUSCLE PLASTICITY IN NITRIC OXIDEP20RR018766 · NCRR · LSU HEALTH SCIENCES CENTER · PI KAPUSTA, DANIEL R · 2003 to 2011
$18.5M
Tulane University COVID Antibody and Immunity Network (TUCAIN) SupplementU54CA260581 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI ROBINSON, JAMES E · 2020 to 2024
$9.2M
MENTORING IN CARDIOVASCULAR BIOLOGYP20GM103514 · NIGMS · LSU HEALTH SCIENCES CENTER · PI KAPUSTA, DANIEL R · 2012 to 2012
$2.0M
Antigen Structure-Based Supervised Learning for CD4+ T-cell Epitope PredictionR21AI122199 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI METTU, RAMGOPAL · 2016 to 2017
$414k
NCI NIH HHS U54 CA260581NCRR NIH HHS P20 RR018766NIAID NIH HHS R21 AI122199NIGMS NIH HHS P20 GM103514
6 · The paper itself

Abstract

Antigen processing in the class II MHC pathway depends on conventional proteolytic enzymes, potentially acting on antigens in native-like conformational states. CD4+ epitope dominance arises from a competition among antigen folding, proteolysis, and MHCII binding. Protease-sensitive sites, linear antibody epitopes, and CD4+ T-cell epitopes were mapped in plague vaccine candidate F1-V to evaluate the various contributions to CD4+ epitope dominance. Using X-ray crystal structures, antigen processing likelihood (APL) predicts CD4+ epitopes with significant accuracy for F1-V without considering peptide-MHCII binding affinity. We also show that APL achieves excellent performance over two benchmark antigen sets. The profiles of conformational flexibility derived from the X-ray crystal structures of the F1-V proteins, Caf1 and LcrV, were similar to the biochemical profiles of linear antibody epitope reactivity and protease sensitivity, suggesting that the role of structure in proteolysis was captured by the analysis of the crystal structures. The patterns of CD4+ T-cell epitope dominance in C57BL/6, CBA, and BALB/c mice were compared to epitope predictions based on APL, MHCII binding, or both. For a sample of 13 diverse antigens, the accuracy of epitope prediction by the combination of APL and I-A

Indexed as

CD4-Positive T-LymphocytesEpitopes, T-LymphocyteAnimalsHumansMiceMice, Inbred C57BLMice, Inbred CBAPeptide HydrolasesPeptidesProtein ConformationEpitopes, T-LymphocytePeptide HydrolasesPeptides

Identifiers

PMID35834502
PMCPMC9352311
OpenAlexW4285493908

What Socratic 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 Socratic graph.