Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag:
Created by Gain-of-Function (for Bio Warfare)?
by
Prashant Pradhan, Ashutosh Kumar Pandey, Akhilesh Mishra, Parul Gupta, Praveen Kumar Tripathi, Manoj Balakrishnan Menon, James Gomes, Perumal Vivekanandan, Bishwajit Kundu
DOI: https://doi.org/10.1101/2020.01.30.927871 / 13501013714698 Posted January 31, 2020.
Abstract
We are currently witnessing a major epidemic caused by the 2019 novel coronavirus (2019-nCoV). The evolution of 2019-nCoV remains elusive. We found 4 insertions in the spike glycoprotein (S) which are unique to the 2019-nCoV and are not present in other coronaviruses. Importantly, amino acid residues in all 4 inserts have the same identity or strong similarity to those in the HIV-1 gp120 or HIV-1 Gag. Interestingly, despite the inserts being discontinuous on the primary amino acid sequence, 3D-modelling of the 2019-nCoV strongly suggests that they converge to constitute the receptor binding site. The finding of these 4 unique inserts in the 2019-nCoV, all of which have identity /similarity to amino acid residues in key structural proteins of HIV-1 is unlikely to be fortuitous in nature. This work provides yet unknown insights on 2019-nCoV and sheds light on the evolution and pathogenicity of this virus with important implications for the diagnosis of this virus.
These findings lead to the conclusion that 2019-nCoV (SARS-CoV-2) has been created in a laboratory as such a chunk of HIV-1 cannot have occurred as a natural and spontaneous mutation.
References
↵Beniac, D. R., Andonov, A., Grudeski, E., & Booth, T. F. (2006). The architecture of the SARS coronavirus prefusion spike. Nature Structural and Molecular Biology, 13(8), 751–752. https://doi.org/10.1038/nsmb1123Google Scholar
↵Biasini, M., Bienert, S., Waterhouse, A., Arnold, K., Studer, G., Schmidt, T., Kiefer, F., Cassarino, T. G., Bertoni, M., Bordoli, L., & Schwede, T. (2014). SWISS-MODEL: Modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research. https://doi.org/10.1093/nar/gku340Google Scholar
↵Bosch, B. J., van der Zee, R., de Haan, C. A. M., & Rottier, P. J. M. (2003). The Coronavirus Spike Protein Is a Class I Virus Fusion Protein: Structural and Functional Characterization of the Fusion Core Complex. Journal of Virology, 77(16), 8801–8811. https://doi.org/10.1128/jvi.77.16.8801-8811.2003Abstract/FREE Full TextGoogle Scholar
↵Chan, J. F.-W., Kok, K.-H., Zhu, Z., Chu, H., To, K. K.-W., Yuan, S., & Yuen, K.-Y. (2020). Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Emerging Microbes & Infections, 9(1), 221–236. https://doi.org/10.1080/22221751.2020.1719902Google Scholar
↵Chan, J. F. W., Lau, S. K. P., To, K. K. W., Cheng, V. C. C., Woo, P. C. Y., & Yuen, K.-Y. (2015). The Middle East Respiratory Syndrome Coronavirus: Another Zoonotic Betacoronavirus Causing SARS-Like Disease. https://doi.org/10.1128/CMR.00102-14Google Scholar
↵Chan, J., To, K., Tse, H., Jin, D., microbiology, K. Y.-T. in, & 2013, undefined. (n.d.). Interspecies transmission and emergence of novel viruses: lessons from bats and birds. Elsevier.Google Scholar
↵Corpet, F. (1988). Multiple sequence alignment with hierarchical clustering. Nucleic Acids Research. https://doi.org/10.1093/nar/16.22.10881Google Scholar
↵Delano, W. L. (2002). The PyMOL Molecular Graphics System, Version 1.1. Schr{ö}dinger LLC. https://doi.org/10.1038/hr.2014.17Google Scholar
↵Du, L., Zhao, G., Kou, Z., Ma, C., Sun, S., Poon, V. K. M., Lu, L., Wang, L., Debnath, A. K., Zheng, B.-J., Zhou, Y., & Jiang, S. (2013). Identification of a Receptor-Binding Domain in the S Protein of the Novel Human Coronavirus Middle East Respiratory Syndrome Coronavirus is an Essential Target for Vaccine Development. Journal of Virology, 87(17), 9939–9942. https://doi.org/10.1128/jvi.01048-13Abstract/FREE Full TextGoogle Scholar
↵Edgar, R. C. (2004). MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research. https://doi.org/10.1093/nar/gkh340Google Scholar
↵Elbe, S., & Buckland-Merrett, G. (2017). Data, disease, and diplomacy: GISAID’s innovative contribution to global health. Global Challenges. https://doi.org/10.1002/gch2.1018Google Scholar
↵Kirchdoerfer, R. N., Cottrell, C. A., Wang, N., Pallesen, J., Yassine, H. M., Turner, H. L., Corbett, K. S., Graham, B. S., McLellan, J. S., & Ward, A. B. (2016). Pre-fusion structure of a human coronavirus spike protein. Nature. https://doi.org/10.1038/nature17200Google Scholar
↵Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msy096Google Scholar
↵Li, F. (2016). Structure, Function, and Evolution of Coronavirus Spike Proteins. Annual Review of Virology, 3(1), 237–261. https://doi.org/10.1146/annurev-virology-110615-042301Google Scholar
↵Murakami, T. (2008). Roles of the interactions between Env and Gag proteins in the HIV-1 replication cycle. Microbiology and Immunology, 52(5), 287–295. https://doi.org/10.1111/j.1348-0421.2008.00008.xCrossRefPubMedGoogle Scholar
↵Ou, X., Guan, H., Qin, B., Mu, Z., Wojdyla, J. A., Wang, M., Dominguez, S. R., Qian, Z., & Cui, S. (2017). Crystal structure of the receptor-binding domain of the spike glycoprotein of human betacoronavirus HKU1. Nature Communications. https://doi.org/10.1038/ncomms15216Google Scholar
↵Snijder, E. J., van der Meer, Y., Zevenhoven-Dobbe, J., Onderwater, J. J. M., van der Meulen, J., Koerten, H. K., & Mommaas, A. M. (2006). Ultrastructure and origin of membrane vesicles associated with the severe acute respiratory syndrome coronavirus replication complex. Journal of Virology, 80(12), 5927–5940. https://doi.org/10.1128/JVI.02501-05Abstract/FREE Full TextGoogle Scholar
↵Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., Chen, H.-D., Chen, J., Luo, Y., Guo, H., Jiang, R.-D., Liu, M.-Q., Chen, Y., Shen, X.-R., Wang, X., … Shi, Z.-L. (2020). Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin. BioRxiv. https://doi.org/10.1101/2020.01.22.914952Google Scholar
↵Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. New England Journal of Medicine, NEJMoa2001017. https://doi.org/10.1056/NEJMoa2001017Google Scholar
COVID-19, SARS and Bats Coronaviruses Genomes Unexpected Exogenous RNA Sequences
by
Jean Claude Perez and Luc Montagnier
DOI: 10.31219/osf.io/tgw2d
May 15th, 2020
This video is a thorough investigation into the (wrong-)doings of all those who drive the SARS-CoV-2 epidemic. The languages used in this video are several but predominantly German and English.
This video are clearly exposed the vicious attempts by Big Pharma and their serving politicians and “scientists” to silence World Leading experts in the field, like the French virologist Luc Montagnier who received the Novel Prize in 2008 for his discovery of HIV.
Luc Montagnier who received the Nobel Prize for his discovery of HIV in 2008
Description
We are facing the worldwide invasion of a new coronavirus. This follows several limited outbreaks of related viruses in various locations in the recent past (SARS, MERS). Although the main objective of researchers is to bring efficient therapeutic and preventive solutions to the global population, we need also to better understand the origin of the newly coronavirus-induced epidemic in order to avoid future outbreaks. The present molecular appraisal is to study by a bio-informatic approach the facts relating to the virus and its precursors. This article shows how 16 fragments (Env Pol and Integrase genes) from different strains, both diversified and very recent, of the HIV-1, HIV-2, and SIV retroviruses most likely are present in the genome of COVID-19 (SARS-CoV-2). Among these fragments, 12 are concentrated in a very small region of the COVID-19 genome, length less than 900bases, i.e. less than 3% of the total length of this genome. In addition, these footprints are positioned in 2 functional genes of COVID-19: the orf1ab and S spike genes. To sum up, here are the two main facts which contribute to our hypothesis of a partially synthetic genome: A contiguous region representing 2.49% of the whole COVID-19 genome of which 40.99% is made up of 12 diverse fragments originating from various strains of HIV-1 and HIV-2 and SIV retroviruses. On the other hand, these 12 fragments some of which appear concatenated. Notably, the retroviral part of these regions, which consists of 8 elements from various strains HIV-1, HIV-2, and SIV covers a length of 275 contiguous bases of COVID-19. The cumulative length of these 8 HIV SIV elements represents 200 bases. Consequently, the HIV SIV density rate of this region of COVID-19 is 200/275 = 72.73%, which is considerable s made of. Moreover, each of these elements is made of 18 or more nucleotides and therefore may have a function. They are called Exogenous Informative Elements. A major part of these 16 EIE already existed in the first SARS genomes as early as 2003. However, we demonstrate how and why a new region including 4 HIV-1 HIV-2 Exogenous Informative Elements radically distinguishes all COVID-19 strains from all SARS and Bat strains. We then gather facts about the possible origins of COVID-19. We have particularly analyzed this small region of 225 bases common to COVID-19 and batRaTG13 but totally absent in all SARS strains. Then, we discuss the case of bat genomes presumed to be at the origin of COVID_19. In the strain of bat RaTG13 coronavirus isolated in 2013, then sequenced in 2020, the homology profile for HIV-1 Kenya 2008 fragment is identical to that of COVID-19. Finally, we have studied the most recent genetic evolution of the COVID-19 strains involved in the world epidemic. We found a significant occurrence of mutations and deletions in the 225b region. On sampling genomes, we finally show that this 225b key region of each genome, rich in EIE, evolves much faster than the corresponding whole genome. The comparative analysis of the SPIKES genes of COVID_19 and Bat RaTG13 demonstrates two abnormal facts: on the one hand, the insertion of 4 contiguous amino acids in the middle of SPIKE, on the other hand, an abnormal distribution of synonymous codons in the second half of SPIKE. Finally, the insertion in this region of an EIE coming from a Plasmodium yoelii gene is demonstrated, but above all seems to explain the “strategy” pursued by having “artificially” modified the ratio of synonym codons / non-synonymous codons in this same region of 1770 COVID-19 SPIKE nucleotides.
Also, watch the video.