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10.1016/j.meegid.2020.104440

http://scihub22266oqcxt.onion/10.1016/j.meegid.2020.104440
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32622082!7327474!32622082
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suck abstract from ncbi


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pmid32622082      Infect+Genet+Evol 2020 ; 84 (ä): 104440
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  • Ancestral origin, antigenic resemblance and epidemiological insights of novel coronavirus (SARS-CoV-2): Global burden and Bangladesh perspective #MMPMID32622082
  • Uddin MB; Hasan M; Harun-Al-Rashid A; Ahsan MI; Imran MAS; Ahmed SSU
  • Infect Genet Evol 2020[Oct]; 84 (ä): 104440 PMID32622082show ga
  • SARS-CoV-2, a new coronavirus strain responsible for COVID-19, has emerged in Wuhan City, China, and continuing its global pandemic nature. The availability of the complete gene sequences of the virus helps to know about the origin and molecular characteristics of this virus. In the present study, we performed bioinformatic analysis of the available gene sequence data of SARS-CoV-2 for the understanding of evolution and molecular characteristics and immunogenic resemblance of the circulating viruses. Phylogenetic analysis was performed for four types of representative viral proteins (spike, membrane, envelope and nucleoprotein) of SARS-CoV-2, HCoV-229E, HCoV-OC43, SARS-CoV, HCoV-NL63, HKU1, MERS-CoV, HKU4, HKU5 and BufCoV-HKU26. The findings demonstrated that SARS-CoV-2 exhibited convergent evolutionary relation with previously reported SARS-CoV. It was also depicted that SARS-CoV-2 proteins were highly similar and identical to SARS-CoV proteins, though proteins from other coronaviruses showed a lower level of resemblance. The cross-checked conservancy analysis of SARS-CoV-2 antigenic epitopes showed significant conservancy with antigenic epitopes derived from SARS-CoV. Descriptive epidemiological analysis on several epidemiological indices was performed on available epidemiological outbreak information from several open databases on COVID-19 (SARS-CoV-2). Satellite-derived imaging data have been employed to understand the role of temperature in the environmental persistence of the virus. Findings of the descriptive analysis were used to describe the global impact of newly emerged SARS-CoV-2, and the risk of an epidemic in Bangladesh.
  • |*Genome, Viral[MESH]
  • |*Pandemics[MESH]
  • |Alphacoronavirus/classification/genetics/metabolism[MESH]
  • |Amino Acid Sequence[MESH]
  • |Animals[MESH]
  • |Antigens, Viral/chemistry/*genetics/metabolism[MESH]
  • |Bangladesh/epidemiology[MESH]
  • |Base Sequence[MESH]
  • |Betacoronavirus/classification/*genetics/metabolism[MESH]
  • |Binding Sites[MESH]
  • |COVID-19[MESH]
  • |Chiroptera/virology[MESH]
  • |Computational Biology[MESH]
  • |Coronavirus 229E, Human/classification/genetics/metabolism[MESH]
  • |Coronavirus Infections/*epidemiology/virology[MESH]
  • |Coronavirus NL63, Human/classification/genetics/metabolism[MESH]
  • |Coronavirus OC43, Human/classification/genetics/metabolism[MESH]
  • |Humans[MESH]
  • |Middle East Respiratory Syndrome Coronavirus/classification/genetics/metabolism[MESH]
  • |Models, Molecular[MESH]
  • |Mutation[MESH]
  • |Nucleoproteins/chemistry/genetics/metabolism[MESH]
  • |Phylogeny[MESH]
  • |Pneumonia, Viral/*epidemiology/virology[MESH]
  • |Protein Binding[MESH]
  • |Protein Interaction Domains and Motifs[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Alignment[MESH]
  • |Severe acute respiratory syndrome-related coronavirus/classification/*genetics/metabolism[MESH]
  • |Spike Glycoprotein, Coronavirus/*chemistry/genetics/metabolism[MESH]


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