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10.1016/j.compbiomed.2021.104631

http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2021.104631
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34273770!8264305!34273770
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suck abstract from ncbi

pmid34273770      Comput+Biol+Med 2021 ; 136 (?): 104631
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  • Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors #MMPMID34273770
  • Singh R; Bhardwaj VK; Sharma J; Kumar D; Purohit R
  • Comput Biol Med 2021[Sep]; 136 (?): 104631 PMID34273770show ga
  • The Spike receptor binding domain (S-RBD) from SARS-CoV-2, a crucial protein for the entrance of the virus into target cells is known to cause infection by binding to a cell surface protein. Hence, reckoning therapeutics for the S-RBD of SARS-CoV-2 may address a significant way to target viral entry into the host cells. Herein, through in-silico approaches (Molecular docking, molecular dynamics (MD) simulations, and end-state thermodynamics), we aimed to screen natural molecules from different plants for their ability to inhibit S-RBD of SARS-CoV-2. We prioritized the best interacting molecules (Diacetylcurcumin and Dicaffeoylquinic acid) by analysis of protein-ligand interactions and subjected them for long-term MD simulations. We found that Dicaffeoylquinic acid interacted prominently with essential residues (Lys417, Gln493, Tyr489, Phe456, Tyr473, and Glu484) of S-RBD. These residues are involved in interactions between S-RBD and ACE2 and could inhibit the viral entry into the host cells. The in-silico analyses indicated that Dicaffeoylquinic acid and Diacetylcurcumin might have the potential to act as inhibitors of SARS-CoV-2 S-RBD. The present study warrants further in-vitro and in-vivo studies of Dicaffeoylquinic acid and Diacetylcurcumin for validation and acceptance of their inhibitory potential against S-RBD of SARS-CoV-2.
  • |*Antiviral Agents/pharmacology[MESH]
  • |*COVID-19[MESH]
  • |*Spike Glycoprotein, Coronavirus/antagonists & inhibitors[MESH]
  • |Angiotensin-Converting Enzyme 2/*antagonists & inhibitors[MESH]
  • |Humans[MESH]
  • |Molecular Docking Simulation[MESH]
  • |Molecular Dynamics Simulation[MESH]
  • |Phytochemicals/*pharmacology[MESH]
  • |Protein Binding[MESH]


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