Evidence map›Paper›PMID 40898294›Full record

ArticleJournal of translational medicine2025

Outbreak dates of virus could be predicted by their protein sequence.

Peijun Zuo, Longlong Zuo, Zhihong Li, Xiaotong Zhou, Yanping Yu, Qinqing Wu, Yixiao Niu, Qiaocheng Chang, A Bakr M Rabie, Paul Lam and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. 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.

Peijun ZuoSchool of Public Health, Shantou University, Guangdong, China. peijunzuo@hotmail.com.
Longlong ZuoChinese University of Hong Kong, Hong Kong, China.
Zhihong LiSunshine Fund Company Limited, Hong Kong, China.
Xiaotong ZhouSchool of Public Health, Shantou University, Guangdong, China.
Yanping YuSchool of Public Health, Shantou University, Guangdong, China.
Qinqing WuSchool of Public Health, Shantou University, Guangdong, China.
Yixiao NiuSchool of Public Health, Shantou University, Guangdong, China.
Qiaocheng ChangSchool of Public Health, Shantou University, Guangdong, China.
A Bakr M RabieUniversity of Hong Kong, Hong Kong, China.
Paul LamSunshine Fund Company Limited, Hong Kong, China.
Liping LiSchool of Public Health, Shantou University, Guangdong, China.

Funding

Shantou University NTF21021
6 · The paper itself

Abstract

introductionSince 1970, monkey-pox, the last outbreak of smallpox, coronavirus was outbreak in the world for more than 50 years. To find if the outbreak dates could be predicted by their one-dimension protein sequence, the mathematical model was needed to establish between them.

methods(A) collecting the outbreak dates of monkey-pox, smallpox, and coronavirus, determine the outbreak time interval between the pathogen strain and the reference strain SARS-CoV-2 D614, z. (B) detecting the one-dimension antigenic amino acid sequence of the pathogen strain to determine the super-antigens. (C) calculating the super-antigen precision, determining the increase amount in antigen precision between the pathogen strain and the reference strain, x; y represents the number of tryptophan (W) in the super-antigen. (D) Determine the correlation among the outbreak time interval z, the increase amount in antigen precision, x, and the number of W the super-antigen contains, y.

resultsThe regression equation is z = 13.762x

conclusionsThe method can predict the outbreak dates by one-dimension protein sequence, such as monkey-pox, smallpox, and coronavirus.

Indexed as

Disease OutbreaksSARS-CoV-2Amino Acid SequenceCOVID-19HumansSmallpoxTime FactorsDatesOutbrokenPredictedProteinSequenceVirus

Identifiers

PMID40898294
PMCPMC12403610

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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.