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10.1074/jbc.RA120.014873

http://scihub22266oqcxt.onion/10.1074/jbc.RA120.014873
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32587094!7450099!32587094
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suck abstract from ncbi


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pmid32587094      J+Biol+Chem 2020 ; 295 (33): 11742-11753
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  • SARS-CoV-2 (COVID-19) structural and evolutionary dynamicome: Insights into functional evolution and human genomics #MMPMID32587094
  • Gupta R; Charron J; Stenger CL; Painter J; Steward H; Cook TW; Faber W; Frisch A; Lind E; Bauss J; Li X; Sirpilla O; Soehnlen X; Underwood A; Hinds D; Morris M; Lamb N; Carcillo JA; Bupp C; Uhal BD; Rajasekaran S; Prokop JW
  • J Biol Chem 2020[Aug]; 295 (33): 11742-11753 PMID32587094show ga
  • The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has challenged the speed at which laboratories can discover the viral composition and study health outcomes. The small approximately 30-kb ssRNA genome of coronaviruses makes them adept at cross-species spread while enabling a robust understanding of all of the proteins the viral genome encodes. We have employed protein modeling, molecular dynamics simulations, evolutionary mapping, and 3D printing to gain a full proteome- and dynamicome-level understanding of SARS-CoV-2. We established the Viral Integrated Structural Evolution Dynamic Database (VIStEDD at RRID:SCR_018793) to facilitate future discoveries and educational use. Here, we highlight the use of VIStEDD for nsp6, nucleocapsid (N), and spike (S) surface glycoprotein. For both nsp6 and N, we found highly conserved surface amino acids that likely drive protein-protein interactions. In characterizing viral S protein, we developed a quantitative dynamics cross-correlation matrix to gain insights into its interactions with the angiotensin I-converting enzyme 2 (ACE2)-solute carrier family 6 member 19 (SLC6A19) dimer. Using this quantitative matrix, we elucidated 47 potential functional missense variants from genomic databases within ACE2/SLC6A19/transmembrane serine protease 2 (TMPRSS2), warranting genomic enrichment analyses in SARS-CoV-2 patients. These variants had ultralow frequency but existed in males hemizygous for ACE2. Two ACE2 noncoding variants (rs4646118 and rs143185769) present in approximately 9% of individuals of African descent may regulate ACE2 expression and may be associated with increased susceptibility of African Americans to SARS-CoV-2. We propose that this SARS-CoV-2 database may aid research into the ongoing pandemic.
  • |*Databases, Protein[MESH]
  • |*Molecular Dynamics Simulation[MESH]
  • |*Proteome[MESH]
  • |Amino Acid Transport Systems, Neutral/chemistry/genetics/metabolism[MESH]
  • |Angiotensin-Converting Enzyme 2[MESH]
  • |Betacoronavirus/*chemistry/*genetics[MESH]
  • |Black People/genetics[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*metabolism/virology[MESH]
  • |Coronavirus Nucleocapsid Proteins[MESH]
  • |Genetic Predisposition to Disease[MESH]
  • |Genetic Variation[MESH]
  • |Host-Pathogen Interactions[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Nucleocapsid Proteins/chemistry/metabolism[MESH]
  • |Pandemics[MESH]
  • |Peptidyl-Dipeptidase A/chemistry/genetics/metabolism[MESH]
  • |Phosphoproteins[MESH]
  • |Pneumonia, Viral/*metabolism/virology[MESH]
  • |Protein Interaction Maps[MESH]
  • |Protein Processing, Post-Translational[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Homology, Amino Acid[MESH]
  • |Serine Endopeptidases/chemistry/genetics/metabolism[MESH]


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