Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease

Samankaltaisia teoksia

• Structure-based screening of novel lichen compounds against SARS Coronavirus main protease (Mpro) as potentials inhibitors of COVID-19
  Tekijä: Joshi, Tanuja, et al.
  Julkaistu: (2020)
• Using Chou’s 5-steps rule to study pharmacophore-based virtual screening of SARS-CoV-2 Mpro inhibitors
  Tekijä: Pundir, Hemlata, et al.
  Julkaistu: (2020)
• A dynamic simulation study of FDA drug from zinc database against COVID-19 main protease receptor
  Tekijä: Mathpal, Shalini, et al.
  Julkaistu: (2020)
• Identification of natural inhibitors against Mpro of SARS-CoV-2 by molecular docking, molecular dynamics simulation, and MM/PBSA methods
  Tekijä: Sharma, Priyanka, et al.
  Julkaistu: (2020)
• Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis
  Tekijä: Nand, Mahesha, et al.
  Julkaistu: (2020)