Selected article for: "database study and present study"

Author: Prasanth, D. S. N. B. K.; Murahari, Manikanta; Chandramohan, Vivek; Panda, Siva Prasad; Atmakuri, Lakshmana Rao; Guntupalli, Chakravarthi
Title: In silico identification of potential inhibitors from Cinnamon against main protease and spike glycoprotein of SARS CoV-2
  • Cord-id: 3v8140b6
  • Document date: 2020_6_22
  • ID: 3v8140b6
    Snippet: Cinnamon has been utilized to remedy a lot of afflictions of humans. Literary works illustrate that it possesses numerous biological activities. Our research study is intended to recognize the phyto-derived antiviral substances from Cinnamon against COVID-19 main protease enzyme and to understand the in silico molecular basis of its activity. In the present study, 48 isolates compounds from Cinnamon retrieved from the PubMed database, are subjected to docking analysis. Docking study was performe
    Document: Cinnamon has been utilized to remedy a lot of afflictions of humans. Literary works illustrate that it possesses numerous biological activities. Our research study is intended to recognize the phyto-derived antiviral substances from Cinnamon against COVID-19 main protease enzyme and to understand the in silico molecular basis of its activity. In the present study, 48 isolates compounds from Cinnamon retrieved from the PubMed database, are subjected to docking analysis. Docking study was performed using Autodock vina and PyRx software. Afterwards, admetSAR, as well as DruLiTo servers, were used to investigate drug-likeness prophecy. Our study shows that the nine phytochemicals of Cinnamon are very likely against the main protease enzyme of COVID-19. Further MD simulations could identify Tenufolin (TEN) and Pavetannin C1 (PAV) as hit compounds. Utilizing contemporary strategies, these phyto-compounds from a natural origin might establish a reliable medication or support lead identification. Identified hit compounds can be further taken for in vitro and in vivo studies to examine their effectiveness versus COVID-19.

    Search related documents:
    Co phrase search for related documents
    • accurate prediction and active site: 1
    • accurate prediction and acute respiratory syndrome: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • accurate prediction and lung disease: 1, 2, 3, 4
    • accurate result and acute respiratory syndrome: 1, 2
    • active compound and acute respiratory syndrome: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
    • active compound and long history: 1