Evidence map›Paper›PMID 42445188›Full record

ArticleFrontiers in immunology2026

Immunoinformatics-driven design of a multi-epitope vaccine against

Dan Wu, Runbo Luo, Kexin Li, Yulin Peng, Xiao Yue, Yurui Wang, Haoyu Fan, Yifang Wen, Yixin Huang, Sizhu Suolang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Dan WuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Runbo LuoKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Kexin LiKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Yulin PengCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Xiao YueKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Yurui WangKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Haoyu FanKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Yifang WenKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Yixin HuangCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.
Sizhu SuolangKey Laboratory for Prevention and Control of Hydatid Disease in Xizang (Co-constructed by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi, Xizang, China.
Suizhong CaoCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: A hierarchical immunoinformatics pipeline was implemented, encompassing subtractive genomics to identify core virulence factors, prediction and filtering of immunogenic T-cell and B-cell epitopes, rational multi-epitope vaccine design incorporating adjuvant and linkers, three-dimensional structure modeling and validation, molecular docking to evaluate interactions with TLR4, molecular dynamics simulations to confirm complex stability, and codon optimization to facilitate heterologous expression. Results and discussion: Five core virulence proteins ( Conclusion: This study designed a novel multi-epitope vaccine against

Indexed as

Bacterial VaccinesCattle DiseasesClostridium InfectionsClostridium perfringensEpitopes, B-LymphocyteEpitopes, T-LymphocyteAnimalsCattleImmunoinformaticsMolecular Docking SimulationMolecular Dynamics SimulationProtein Subunit VaccinesBacterial VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtein Subunit VaccinesClostridium perfringensimmunoinformaticsmolecular dockingmulti-epitope vaccineyak

Identifiers

PMID42445188
PMCPMC13357431

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.