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

IF 7.5 2区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Journal of Translational Medicine Pub Date : 2025-09-02 DOI:10.1186/s12967-025-07051-8

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

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引用次数: 0

Abstract

Introduction: Since 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.

Results: The regression equation is z = 13.762x²- 109.376x- 63.290y + 221.197, with a correlation coefficient of R = 1.0000000. After statistical testing, the probability of class I errors occurring is P = 0.008.

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

Abstract Image

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病毒的蛋白质序列可以预测病毒的爆发日期。

自1970年猴痘，天花，冠状病毒的最后一次爆发以来，在世界上爆发了50多年。为了确定爆发日期是否可以通过它们的一维蛋白质序列来预测，需要在它们之间建立数学模型。方法：(A)收集猴痘、天花和冠状病毒的爆发日期，确定病原体菌株与参考菌株SARS-CoV-2 D614的爆发时间间隔；(B)检测病原体菌株的一维抗原氨基酸序列，确定超级抗原。(C)计算超抗原精度，确定病原体菌株与参比菌株之间抗原精度的增加量x；y表示超抗原中色氨酸(W)的数量。(D)确定爆发时间间隔z、抗原精密度增加量x与超抗原所含W数y的相关性。结果：回归方程为z = 13.762x2 - 109.376x- 63.290y + 221.197，相关系数R = 1.00000。经统计检验，第一类错误发生的概率P = 0.008。结论：该方法可根据猴痘、天花、冠状病毒等疾病的一维蛋白序列预测暴发日期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Translational Medicine 医学-医学：研究与实验

CiteScore

10.00

自引率

1.40%

发文量

537

审稿时长

1 months

期刊介绍： The Journal of Translational Medicine is an open-access journal that publishes articles focusing on information derived from human experimentation to enhance communication between basic and clinical science. It covers all areas of translational medicine.