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

Autor:	Irena Cosic, Drasko Cosic, Ivan Loncarevic
Rok vydání:	2021
Předmět:	Drug Coronavirus disease 2019 (COVID-19) business.industry viruses Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Anti parasitic media_common.quotation_subject fungi Hydroxychloroquine Virology Virus Ivermectin Chloroquine medicine business medicine.drug media_common
Zdroj:	International Journal of Sciences. 10:1-6
ISSN:	2305-3925 2410-4477
DOI:	10.18483/ijsci.2433
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::625c05f0b9f15e61d9405f97ce66264b https://doi.org/10.18483/ijsci.2433 Zobrazit plný text záznamu