Peijun Zuo, Longlong Zuo, Zhihong Li, Xiaotong Zhou, Yanping Yu, Qinqing Wu, Yixiao Niu, Qiaocheng Chang, A Bakr M Rabie, Paul Lam, Liping Li
{"title":"病毒的蛋白质序列可以预测病毒的爆发日期。","authors":"Peijun Zuo, Longlong Zuo, Zhihong Li, Xiaotong Zhou, Yanping Yu, Qinqing Wu, Yixiao Niu, Qiaocheng Chang, A Bakr M Rabie, Paul Lam, Liping Li","doi":"10.1186/s12967-025-07051-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>(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.</p><p><strong>Results: </strong>The regression equation is z = 13.762x<sup>2 </sup>- 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.</p><p><strong>Conclusions: </strong>The method can predict the outbreak dates by one-dimension protein sequence, such as monkey-pox, smallpox, and coronavirus.</p>","PeriodicalId":17458,"journal":{"name":"Journal of Translational Medicine","volume":"23 1","pages":"980"},"PeriodicalIF":7.5000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403610/pdf/","citationCount":"0","resultStr":"{\"title\":\"Outbreak dates of virus could be predicted by their protein sequence.\",\"authors\":\"Peijun Zuo, Longlong Zuo, Zhihong Li, Xiaotong Zhou, Yanping Yu, Qinqing Wu, Yixiao Niu, Qiaocheng Chang, A Bakr M Rabie, Paul Lam, Liping Li\",\"doi\":\"10.1186/s12967-025-07051-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>(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.</p><p><strong>Results: </strong>The regression equation is z = 13.762x<sup>2 </sup>- 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.</p><p><strong>Conclusions: </strong>The method can predict the outbreak dates by one-dimension protein sequence, such as monkey-pox, smallpox, and coronavirus.</p>\",\"PeriodicalId\":17458,\"journal\":{\"name\":\"Journal of Translational Medicine\",\"volume\":\"23 1\",\"pages\":\"980\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403610/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12967-025-07051-8\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12967-025-07051-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Outbreak dates of virus could be predicted by their protein sequence.
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.
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.
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