IDEAS home Printed from https://ideas.repec.org/a/adm/journl/v10y2021i1p1-6.html
   My bibliography  Save this article

Analysis of Ivermectin as Potential Inhibitor of SARS-CoV-2 Using Resonant Recognition Model

Author

Listed:
  • Irena Cosic
  • Drasko Cosic
  • Ivan Loncarevic

Abstract

With worldwide spread of COVID-19 disease caused by SARS-CoV-2 virus, everyone is trying to find effective cure. One of the quickest approaches is to test existing already approved and safe drugs for possibility of their activity against SARS-CoV-2 virus. One of such possible drugs is ivermectin, which is FDA approved broad spectrum anti parasitic agent. Recently it has been shown that ivermectin has broad range of in vitro antiviral activities and it has been shown that ivermectin is an inhibitor of SARS-CoV-2. We have previously used our recently developed extended Resonant Recognition Model (RRM) for small molecules and we have proposed hat drugs like hydroxychloroquine, chloroquine and remdesivir can interfere with SARS-CoV-2 viral infection. Here, we have used an extended RRM model for small molecules to analyze the possibility for ivermectin, an already FDA-approved drug, to interfere with SARS-CoV-2 viral activity, which could lead to an effective cure.

Suggested Citation

  • Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2021. "Analysis of Ivermectin as Potential Inhibitor of SARS-CoV-2 Using Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 10(01), pages 1-6, January.
    • Handle: RePEc:adm:journl:v:10:y:2021:i:1:p:1-6
    DOI: 10.18483/ijSci.2433
    as

    Download full text from publisher

    File URL: https://www.ijsciences.com/pub/article/2433
    Download Restriction: no
    File URL: https://www.ijsciences.com/pub/pdf/V102021012433.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.18483/ijSci.2433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Irena Cosic & Vasilis Paspaliaris & Drasko Cosic, 2019. "Biophysical Insights into Cystic Fibrosis Based on Electromagnetic Resonances in CFTR Proteins," International Journal of Sciences, Office ijSciences, vol. 8(09), pages 1-8, September.
    2. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2020. "New Concept of Small Molecules Interaction with Proteins – An Application to Potential COVID-19 Drugs," International Journal of Sciences, Office ijSciences, vol. 9(09), pages 16-25, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2021. "Possibility to Interfere with Coronavirus RNA Replication Analyzed by Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 10(06), pages 22-28, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2020. "New Concept of Small Molecules Interaction with Proteins – An Application to Potential COVID-19 Drugs," International Journal of Sciences, Office ijSciences, vol. 9(09), pages 16-25, September.
    2. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2021. "Possibility to Interfere with Coronavirus RNA Replication Analyzed by Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 10(06), pages 22-28, June.
    3. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2021. "Analysis of UK and South African Strains of SARS-CoV-2 Using Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 10(03), pages 19-25, March.
    4. Irena Cosic & Drasko Cosic, 2020. "Roll of Temperature in Living Systems Analysed Using the Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 9(04), pages 40-44, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adm:journl:v:10:y:2021:i:1:p:1-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Staff ijSciences (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.