Main Article Content


SARS-COV-2 identified as COVID-19, has become the world's most contagious and dangerous pandemic disease today. It was firstly reported in Wuhan, China, in December 2019, then due to its strong infectious nature, it had spread to almost 214 countries. Precautionary steps remain the only mandatory technique before a successful form of treatment or vaccine is created to avoid person-to-person transmissions. In the absence of any unique or therapeutic vaccine against this virus, current attempts are being made to find a cure for this pandemic. Using derivatives from previously known antiviral drugs are a beneficial strategy until a specific treatment methodology for COVID-19 is available. Since ancient times, herbal medicines have been used as natural remedies for treating different infectious diseases. A good way to treat COVID-19 will be to look for new compounds from natural sources known for their high safety and applicability since the development of innovative drugs takes a long time and cost. Molecular docking analysis is routinely used in modern drug research to understand and predict the interaction between the molecule of the drug and the microbe's target protein. Drugs designed in this way can prevent access of pathogens into host cells and replication. The present study gives an insight about some plant phytoderivatives that were examined via in silico  studies to have the potentiality in treating coronavirus disease through various potential mechanisms such as hindering genome replication, inhibition of spike proteins or preventing inflammatory storm that causes lung injury.


COVID-19 Medicinal Plants Phytoderivatives In silico Spike protein Viral protease

Article Details

How to Cite
Tamara Al-Daghastani, Maisa Alnaqeeb, Shereen Arabiyat, Odate Tadros, & Farah Al-Mamoori. (2020). A Review of Selected Phyto-derivative Compounds Evaluated by In silico studie as Potential Effective Options to Combat Life Threatening COVID-19. International Journal of Research in Pharmaceutical Sciences, 11(SPL1), 1705-1709.