ArticleJournal of translational medicine2025
Outbreak dates of virus could be predicted by their protein sequence.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.