Abstract
This manuscript is continuation of our previous work, where we have analyzed different variants of SARS-CoV-2 virus (UK, South African, Brazilian, and Indian (Kappa)) using Resonant Recognition Model (RRM), which is biophysical model capable to analyze protein function and interaction. We have previously identified correlation between infectivity of these SARS-CoV-2 virus variants with strength of signal at RRM characteristic frequencies for each variant. Here, we have extended this analysis for Delta (Indian) SARS-CoV-2 virus variant, which is extremely infectious and is rapidly spreading around the World. Our results with Delta (Indian) variant are in complete agreement with our previous RRM proposition that viral infectivity is proportional to strength of signal at RRM characteristic frequency. These results can explain why Delta (Indian) variant is more infectious. With strong correlation obtained in all these examples, we can propose here that RRM model can be used as general tool to analyze infectivity of mutated virus variants.
Highlights
With COVID-19 pandemic still raging all around the World, which is fueled with more infectious new mutant variants of SARS-CoV-2 virus, like Delta (Indian) variant, it is important to have a tool to analyze and predict infectivity of any new variant even before it has spread across the community
The binding of the S1 spike protein fragments of SARS-CoV and SARS-CoV-2 viruses to the angiotensin-converting enzyme 2 (ACE2) receptor on the surface of cells leads to endocytosis and translocation of the virus into endosomes within the cells [17]
Having in mind that Delta (Indian) variant is extremely infectious, more than other variants of concern, and that there is much higher signal-to-noise ratio (S/N) ratio at frequency f2, but lower at frequency f1, we can propose here that frequency f2 is critical for infectivity of mutated SARS-CoV-2 virus variants
Summary
With COVID-19 pandemic still raging all around the World, which is fueled with more infectious new mutant variants of SARS-CoV-2 virus, like Delta (Indian) variant, it is important to have a tool to analyze and predict infectivity of any new variant even before it has spread across the community. The RRM model has identified parameters (frequencies) that characterize SARS-CoV-2 spike protein, as well as its S1 fragment critical for viral interaction with host cell receptor [3,4]. We have extended this analysis to new extremely infectious and worrisome Delta (Indian) variant, lineage B.1.617.2.
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