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Synchronized attachment and the Darwinian evolution of coronaviruses CoV-1 and CoV-2

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  • Phillips, J.C.

Abstract

CoV2019 has evolved to be much more dangerous than CoV2003. Experiments suggest that structural rearrangements dramatically enhance CoV2019 activity. We identify a new first stage of infection that precedes structural rearrangements by using biomolecular evolutionary theory to identify sequence differences enhancing viral attachment rates. We find a small cluster of mutations which show that CoV-2 has a new feature that promotes much stronger viral attachment and enhances contagiousness. The extremely dangerous dynamics of human coronavirus infection is a dramatic example of evolutionary approach of self-organized networks to criticality. It may favor a very successful vaccine. The identified mutations can be used to test the present theory experimentally.

Suggested Citation

  • Phillips, J.C., 2021. "Synchronized attachment and the Darwinian evolution of coronaviruses CoV-1 and CoV-2," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    • Handle: RePEc:eee:phsmap:v:581:y:2021:i:c:s0378437121004751
    DOI: 10.1016/j.physa.2021.126202
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    References listed on IDEAS

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    1. Li, X. & Phillips, J.C., 2017. "Prediction (early recognition) of emerging flu strain clusters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 371-378.
    2. Phillips, J.C., 2014. "Fractals and self-organized criticality in anti-inflammatory drugs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 538-543.
    3. Allan, Douglas C. & Phillips, J.C., 2017. "Evolution of the ubiquitin-activating enzyme Uba1 (E1)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 456-461.
    4. Phillips, J.C., 2014. "Fractals and self-organized criticality in proteins," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 440-448.
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    Cited by:

    1. Phillips, J.C. & Moret, Marcelo A. & Zebende, Gilney F. & Chow, Carson C., 2022. "Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).

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