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On the intrinsic nature of viral pathogenesis: The assumption of a Darwinian paradigm to describe COVID-19 pandemic.
Roggero, Pier Francesco; Calistri, Arianna; Palù, Giorgio.
Affiliation
  • Roggero PF; Department of Molecular Medicine, University of Padua, via A. Gabelli 63, 35121 Padua, Italy.
  • Calistri A; Department of Molecular Medicine, University of Padua, via A. Gabelli 63, 35121 Padua, Italy.
  • Palù G; Department of Molecular Medicine, University of Padua, via A. Gabelli 63, 35121 Padua, Italy.
Comput Struct Biotechnol J ; 20: 5870-5872, 2022.
Article in En | MEDLINE | ID: mdl-36320938
Our hypothesis about evolution of the COVID-19 pandemic foresees an inverse relation between infectivity (R0) and lethality (L) of SARS-CoV-2. The above parameters are driven by a continuing mutation process granting the virus a clear survival advantage over virulence. For interpreting this relation we adopted a simple equation, R0 × L ≈ k, by which R0 and L depend upon a constant k, that corresponds to an intrinsic property of the viral species involved. The hypothesis was verified by following changes of the R0 and L terms of the formula in the different variants of SARS-CoV-2 that progressively appeared. A further validation came when the equation was applied to pandemic and epidemic influenza type A viruses, Ebola virus and measles virus. We believe this equation that considers virus biology in Darwinian terms could be extremely useful to better face infectious viral threats and validate virus-host molecular interactions relevant to viral pathogenesis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies Language: En Journal: Comput Struct Biotechnol J Year: 2022 Document type: Article Affiliation country: Italy Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies Language: En Journal: Comput Struct Biotechnol J Year: 2022 Document type: Article Affiliation country: Italy Country of publication: Netherlands