Evidence map›Paper›PMID 39215890›Full record

ArticleAMB Express2024

Multi-epitope vaccine design of African swine fever virus considering T cell and B cell immunogenicity.

Ting-Yu Chen, Yann-Jen Ho, Fang-Yu Ko, Pei-Yin Wu, Chia-Jung Chang, Shinn-Ying Ho

Abstract read
In one paragraph

Article in AMB Express, 2024. 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. Review
  2. Article
  3. Article
  4. 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

6 authors.

Ting-Yu ChenInstitute of Molecular Medicine and Bioengineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Yann-Jen HoDepartment of Life Science, National Chung Hsing University, Taichung, Taiwan.
Fang-Yu KoDepartment of Life Science, National Chung Hsing University, Taichung, Taiwan.
Pei-Yin WuReber Genetics Co., Ltd. 13F, No. 160, Sec. 6, Minquan E. Rd., Neihu Dist, Taipei, 114, Taiwan.
Chia-Jung ChangReber Genetics Co., Ltd. 13F, No. 160, Sec. 6, Minquan E. Rd., Neihu Dist, Taipei, 114, Taiwan. frank.chang@reber.com.tw.
Shinn-Ying HoInstitute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. syho@nycu.edu.tw.ORCID http://orcid.org/0000-0002-1901-8353

Funding

Ministry of Education Ministry of EducationNational Science and Technology Council 110-2221-E-A49-099-MY3, 112-2740-B-400-005
6 · The paper itself

Abstract

T and B cell activation are equally important in triggering and orchestrating adaptive host responses to design multi-epitope African swine fever virus (ASFV) vaccines. However, few design methods have considered the trade-off between T and B cell immunogenicity when identifying promising ASFV epitopes. This work proposed a novel Pareto front-based ASFV screening method PFAS to identify promising epitopes for designing multi-epitope vaccines utilizing five ASFV Georgia 2007/1 sequences. To accurately predict T cell immunogenicity, four scoring methods were used to estimate the T cell activation in the four stages, including proteasomal cleavage probability, transporter associated with antigen processing transport efficiency, class I binding affinity of the major histocompatibility complex, and CD8 + cytotoxic T cell immunogenicity. PFAS ranked promising epitopes using a Pareto front method considering T and B cell immunogenicity. The coefficient of determination between the Pareto ranks of multi-epitope vaccines and survival days of swine vaccinations was R

Indexed as

African swine fever virusImmunogenicityPareto frontPromising epitopeT and B cell activationVaccine design

Identifiers

PMID39215890
PMCPMC11365882

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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.