Daidzein for COVID-19

IntroductionThe COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. MethodsExtensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors.ResultsResults revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19. DiscussionThe key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.

The global health pandemic due to COVID-19 caused by SARS-CoV-2, affected and changed the world’s condition drastically. Herein, we evaluated the bioactivity of some phytochemicals as inhibitors against SARS-CoV-2 M provirus (6LU7) using computational models. We reported the optimization of phytochemicals employing density functional theory (DFT) with B3LYP/6-311G+(d,p) level theory. DFT calculations were employed to determine the free energy, dipole moment as well as chemical reactivity descriptors. Molecular docking has been performed against the SARS-CoV-2 M provirus to search the binding affinity and interactions of all compounds with the respective protein. The known drug, Chloroquine of SARS-CoV-2 main protease, was also docked to evaluate its binding affinity. Besides, the data from DFT, the docking studies predicted that flavonoids (Quercetin, Myricetin, Apigenin and Daidzein) have the least binding affinity and might serve as a potent inhibitor against SARS-CoV-2 comparable with the approved medicine, Chloroquine. The high binding affinity of flavonoids was attributed to the presence of hydrogen bonds along with different hydrophobic interactions between the flavonoid and the critical amino acid residues of the receptor. The DFT calculations showed that flavonoids have high.lying HOMO, electrophilicity index and dipole moment. All these parameters could share a different extent to significantly affect the binding affinity of these phytochemicals with active protein sites.

The first cases of COVID-19, which is caused by the SARS-CoV-2, were reported in December 2019. The vertiginous worldwide expansion of SARS-CoV-2 caused the collapse of health systems in several countries due to the high severity of the COVID-19. In addition to the vaccines, the search for active compounds capable of preventing and/or fighting the infection has been the main direction of research. Since the beginning of this pandemic, some evidence has highlighted the importance of a phenolic-rich diet as a strategy to reduce the progression of this disease, including the severity of the symptoms. Some of these compounds (e.g., curcumin, gallic acid or quercetin) already showed capacity to limit the infection of viruses by inhibiting entry into the cell through its binding to protein Spike, regulating the expression of angiotensin-converting enzyme 2, disrupting the replication in cells by inhibition of viral proteases, and/or suppressing and modulating the host’s immune response. Therefore, this review intends to discuss the most recent findings on the potential of phenolics to prevent SARS-CoV-2.