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Computational analysis of the phytocompounds of Mimusops elengi against spike protein of SARS CoV2 – An Insilico model

Sai Ramesh et al., International Journal of Biological Macromolecules, doi:10.1016/j.ijbiomac.2023.125553
Jun 2023  
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Quercetin for COVID-19
24th treatment shown to reduce risk in July 2021
 
*, now with p = 0.0031 from 11 studies.
No treatment is 100% effective. Protocols combine treatments. * >10% efficacy, ≥3 studies.
4,900+ studies for 102 treatments. c19early.org
In Silico study finding that quercetin and hederagenin showed very high binding affinities for COVID-19 associated receptors MMP9 and IL6.
65 preclinical studies support the efficacy of quercetin for COVID-19:
In Silico studies predict inhibition of SARS-CoV-2, or minimization of side effects, with quercetin or metabolites via binding to the spikeA,5,6,18,20,21,26,34,35,37,38,56,57, MproB,3,5,7,9,11,13,14,16,19,20,26,30,32-34,38,39,41,57,58, RNA-dependent RNA polymeraseC,5,28, PLproD,33,41, ACE2E,18,19,24,33,37,57, TMPRSS2F,18, helicaseG,25,30, endoribonucleaseH,35, cathepsin LI,22, Wnt-3J,18, FZDK,18, LRP6L,18, ezrinM,36, ADRPN,34, NRP1O,37, EP300P,12, PTGS2Q,19, HSP90AA1R,12,19, matrix metalloproteinase 9S,27, IL-6T,17,31, IL-10U,17, VEGFAV,31, and RELAW,31 proteins. In Vitro studies demonstrate inhibition of the MproB,11,46,53 protein, and inhibition of spike-ACE2 interactionX,42. In Vitro studies demonstrate efficacy in Calu-3Y,45, A549Z,17, HEK293-ACE2+AA,52, Huh-7AB,21, Caco-2AC,44, Vero E6AD,15,38,44, mTECAE,47, and RAW264.7AF,47 cells. Animal studies demonstrate efficacy in K18-hACE2 miceAG,49, db/db miceAH,47,55, BALB/c miceAI,54, and rats59. Quercetin reduced proinflammatory cytokines and protected lung and kidney tissue against LPS-induced damage in mice54 and inhibits LPS-induced cytokine storm by modulating key inflammatory and antioxidant pathways in macrophages2.
Sai Ramesh et al., 30 Jun 2023, peer-reviewed, 9 authors. Contact: yuvarajdinakarkumar@gmail.com.
In Silico studies are an important part of preclinical research, however results may be very different in vivo.
This PaperQuercetinAll
Computational analysis of the phytocompounds of Mimusops elengi against spike protein of SARS CoV2 – An Insilico model
A Sai Ramesh, S Adarshan, Hamad Lohedan, T Naveen Kumar, M R Thasleema Nasrin, G Aarthi Shree, Yuvaraj Dinakarkumar, Jothi Ramalingam Rajabathar, Muthusamy Karnan
International Journal of Biological Macromolecules, doi:10.1016/j.ijbiomac.2023.125553
The COVID-19 pandemic has been a global health crisis for over three years now, with the virus causing widespread illness and death. The urgent need for safe and effective therapeutic drugs has prompted the exploration of alternative medicine systems such as Ayurveda and Siddha. This study focuses on the potential therapeutic properties of the Ayurvedic plant, Mimusops elengi. In silico techniques were employed to analyze the bioactivity of the plant, including target prediction, gene ontology analysis, OMIM analysis, and molecular docking analysis. The results revealed 36 phytocompounds that interacted with 1431 receptors in the human body, and two compounds -hederagenin and quercetin -showed exceptionally high binding affinities toward their corresponding receptors, IL6 and MMP9. These results provide important insight into the potential therapeutic activity of M. elengi and its compounds in combating COVID-19. However, further research and clinical trials are necessary to validate these findings and develop safe and effective drugs. The study highlights the importance of combining traditional medicine with modern scientific methods to find effective treatments for global health challenges.
Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: R. Jothi Ramalingam reports financial support was provided by Researchers Supporting Project. Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi. org/10.1016/j.ijbiomac.2023.125553.
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