Genistein for COVID-19
Genistein has been reported as potentially beneficial for treatment of COVID-19. We have not reviewed these studies. See all other treatments.
In-silico approaches potential compounds in ginger (Zingiber officinale) as inhibitors of membrane, envelope, nucleocapsid, Plpro, and Helicase proteins of the SARS-CoV-2, INTERNATIONAL CONFERENCE ON APPLIED COMPUTATIONAL INTELLIGENCE AND ANALYTICS (ACIA-2022), doi:10.1063/5.0127236 ,
Inhibitory potential of phytochemicals on five SARS-CoV-2 proteins: in silico evaluation of endemic plants of Bosnia and Herzegovina, Biotechnology & Biotechnological Equipment, doi:10.1080/13102818.2023.2222196 ,
An overview on medicinal plants used for combating coronavirus: Current potentials and challenges, Journal of Agriculture and Food Research, doi:10.1016/j.jafr.2023.100632 ,
Computational studies of potential antiviral compounds from some selected Nigerian medicinal plants against SARS-CoV-2 proteins, Informatics in Medicine Unlocked, doi:10.1016/j.imu.2023.101230 ,
Efficacy Evaluation of Quercetin and Its Analogues on the Main Protease Enzyme of the COVID-19 Using Molecular Docking Studies, journal of ilam university of medical sciences, doi:10.52547/sjimu.30.4.66 ,
Plant Extracts and SARS-CoV-2: Research and Applications, Life, doi:10.3390/life13020386 ,
The recent pandemic of COVID-19 caused by the SARS-CoV-2 virus has brought upon the world an unprecedented challenge. During its acute dissemination, a rush for vaccines started, making the scientific community come together and contribute to the development of efficient therapeutic agents and vaccines. Natural products have been used as sources of individual molecules and extracts capable of inhibiting/neutralizing several microorganisms, including viruses. Natural extracts have shown effective results against the coronavirus family, when first tested in the outbreak of SARS-CoV-1, back in 2002. In this review, the relationship between natural extracts and SARS-CoV is discussed, while also providing insight into misinformation regarding the use of plants as possible therapeutic agents. Studies with plant extracts on coronaviruses are presented, as well as the main inhibition assays and trends for the future regarding the yet unknown long-lasting effects post-infection with SARS-CoV-2.
Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19, Computers in Biology and Medicine, doi:10.1016/j.compbiomed.2022.106029 ,
Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients, PLOS Computational Biology, doi:10.1371/journal.pcbi.1011050 (Table 2) ,
Drug repurposing requires distinguishing established drug class targets from novel molecule-specific mechanisms and rapidly derisking their therapeutic potential in a time-critical manner, particularly in a pandemic scenario. In response to the challenge to rapidly identify treatment options for COVID-19, several studies reported that statins, as a drug class, reduce mortality in these patients. However, it is unknown if different statins exhibit consistent function or may have varying therapeutic benefit. A Bayesian network tool was used to predict drugs that shift the host transcriptomic response to SARS-CoV-2 infection towards a healthy state. Drugs were predicted using 14 RNA-sequencing datasets from 72 autopsy tissues and 465 COVID-19 patient samples or from cultured human cells and organoids infected with SARS-CoV-2. Top drug predictions included statins, which were then assessed using electronic medical records containing over 4,000 COVID-19 patients on statins to determine mortality risk in patients prescribed specific statins versus untreated matched controls. The same drugs were tested in Vero E6 cells infected with SARS-CoV-2 and human endothelial cells infected with a related OC43 coronavirus. Simvastatin was among the most highly predicted compounds (14/14 datasets) and five other statins, including atorvastatin, were predicted to be active in > 50% of analyses. Analysis of the clinical database revealed that reduced mortality risk was only observed in COVID-19 patients prescribed a subset of statins, including simvastatin and atorvastatin. In vitro testing of SARS-CoV-2 infected cells revealed simvastatin to be a potent direct inhibitor whereas most other statins were less effective. Simvastatin also inhibited OC43 infection and reduced cytokine production in endothelial cells. Statins may differ in their ability to sustain the lives of COVID-19 patients despite having a shared drug target and lipid-modifying mechanism of action. These findings highlight the value of target-agnostic drug prediction coupled with patient databases to identify and clinically evaluate non-obvious mechanisms and derisk and accelerate drug repurposing opportunities.
Modern drug discovery applications for the identification of novel candidates for COVID-19 infections, Annals of Medicine and Surgery, doi:10.1016/j.amsu.2022.104125 ,
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