In silico prediction of the animal susceptibility and virtual screening of natural compounds against sars-cov-2: molecular dynamics simulation based analysis

HIGHLIGHTS

• who: August and collaborators from the Panjab University, India have published the research work: In silico prediction of the animal susceptibility and virtual screening of natural compounds against SARS-CoV-2: Molecular dynamics simulation based analysis, in the Journal: (JOURNAL)
• what: The aim of this research was to identify powerful inhibitor compounds that might effectively bind to Orf1ab of SARS-CoV-2. The homology modeled structure that was used in this study showed no "error" in PROVE. The ProsaWeb online tool predicted the Z-score of the modeled structure of domain 3 was -4.14 . . .
  

   

  

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