Evidence map›Paper›PMID 39951549›Full record

ReviewBriefings in bioinformatics2024

Advances of computational methods enhance the development of multi-epitope vaccines.

Yiwen Wei, Tianyi Qiu, Yisi Ai, Yuxi Zhang, Junting Xie, Dong Zhang, Xiaochuan Luo, Xiulan Sun, Xin Wang, Jingxuan Qiu

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
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  5. Review
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  11. Review
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  15. Review
  16. Proteomic Applications in Vaccine Development.Advances in experimental medicine and biology · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. 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

10 authors.

Yiwen WeiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Tianyi QiuInstitute of Clinical Science, Zhongshan Hospital; Intelligent Medicine Institute; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai Medical College, Fudan University, No. 180, Fenglin Road, Xuhui Destrict, Shanghai 200032, China.ORCID 0000-0003-2619-0298
Yisi AiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Yuxi ZhangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Junting XieSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Dong ZhangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Xiaochuan LuoSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Xiulan SunState Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Foods, Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, Lihu Avenue 1800, Wuxi, Jiangsu 214122, China.
Xin WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.
Jingxuan QiuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, No. 334, Jungong Road, Yangpu District, Shanghai 200093, China.ORCID 0000-0001-8420-4593

Funding

National Key Research and Development Program of China 2022YFF1103101National Natural Science Foundation of China 32370697
6 · The paper itself

Abstract

Vaccine development is one of the most promising fields, and multi-epitope vaccine, which does not need laborious culture processes, is an attractive alternative to classical vaccines with the advantage of safety, and efficiency. The rapid development of algorithms and the accumulation of immune data have facilitated the advancement of computer-aided vaccine design. Here we systemically reviewed the in silico data and algorithms resource, for different steps of computational vaccine design, including immunogen selection, epitope prediction, vaccine construction, optimization, and evaluation. The performance of different available tools on epitope prediction and immunogenicity evaluation was tested and compared on benchmark datasets. Finally, we discuss the future research direction for the construction of a multiepitope vaccine.

Indexed as

Computational BiologyEpitopesVaccine DevelopmentVaccinesAlgorithmsComputer SimulationHumansEpitopesVaccinesbioinformatics toolscomputational designepitopemulti-epitope vaccine

Identifiers

PMID39951549
PMCPMC11827616

What OpenQuestion holds

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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.