Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron

Version 1 : Received: 14 March 2024 / Approved: 15 March 2024 / Online: 15 March 2024 (14:43:09 CET)

How to cite: Wei, L.; Song, L.; Dunker, A.K.; Foster, J.A.; Uversky, V.N.; Goh, G.K. A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron. Preprints 2024, 2024030917. https://doi.org/10.20944/preprints202403.0917.v1 Wei, L.; Song, L.; Dunker, A.K.; Foster, J.A.; Uversky, V.N.; Goh, G.K. A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron. Preprints 2024, 2024030917. https://doi.org/10.20944/preprints202403.0917.v1

Abstract

The relationship between pangolin-CoV and SARS-CoV-2 has been a subject of debate. Further evidence of a special relationship between the two viruses can be found by the fact that all known COVID-19 viruses have abnormally hard outer shell (low M disorder; i.e., low content of intrinsically disordered residues in the membrane (M) protein) that so far was found in CoVs associated with burrowing animals, such as rabbits and pangolins, in which transmission involves virus remaining in buried feces for a long time. While a hard outer shell is necessary for viral survival, a harder inner shell could also help. For this reason, the N disorder range of pangolin-CoVs, not bat-CoVs, more closely matches that of SARS-CoV-2 especially when Omicron is included. The low N disorder (i.e., low content of intrinsically disordered residues in the nucleocapsid (N) protein), first observed in pangolin-CoV-2017 amd later in Omicron, is associated with attenuation according to the Shell-Disorder-Model. Our experimental study revealed that pangolin-CoV-2017 and SARS-CoV-2 Omicron (XBB.1.16 subvariant) show similar attenuations with respect to viral growth and plaque formation. Subtle differences have been observed that are consistent with disorder-centric computational analysis.

Keywords

coronavirus; COVID; intrinsic disorder; membrane; nucleocapsid; nucleoprotein; Omicron; pangolin; shell; long COVID; Delta; attenuation; virulence; variant; XBB; AI; Artificial Intelligence; vaccine

Subject

Biology and Life Sciences, Virology

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