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Li-Meng Yan in the spotlights with embarrassing questions to some world-renowned scientists and to expert virologists of the Pasteur Institute

Authors: Valère Lounnas;

Li-Meng Yan in the spotlights with embarrassing questions to some world-renowned scientists and to expert virologists of the Pasteur Institute

Abstract

Summary for the hurried reader : in this part 3 of chapter 8, we have deepened the initial work of Li-Meng Yan to demonstrate that she is indisputably right on two crucial issues that demonstrate the artificiality of SARS-Cov2. Firstly, we show that the three viruses : SARS-Cov2 (human), RaTG13 (bat) and Pan-Cov-GD (Pangolin-Cov-2020), supposedly from pangolin, share both the EcoRI and BsTEII restriction enzyme sites flanking the receptor binding motif (RBM) of their spike (S) protein. We show that at the end of 2019, the statistics on SARS-Like coronaviruses deposited in Genbank allowed for calculating the odds that this happens simultaneously, in 3 a priori unrelated natural viruses, as 1 chance in 5 billions. Thus, SARS-Cov2 and Pan-Cov-GD are directly related to RaTG13, a virus kept since 2013 at the Wuhan Institute of Virology (WIV). Secondly, comparing the S protein ratio of synonymous versus non-synonymous mutations between the RaTG13/SARS-Cov2 supposed bat-to-human species crossing pair with the natural RsSHC014/SARS-Cov and Rs3367/SARS-Cov bat-to-human pairs, we demonstrate further the non-natural relationship between SARS-Cov2 and its closest parent RaTG13, pointing to a laboratory manipulation.

Keywords

Covid-19, SARS-Cov-2 origin, mutations, restriction sites, coronavirus genome manipulations, RaTG13, Pangolin-Cov, Li-Meng Yan

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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