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Nigelladine A among Selected Compounds from Nigella sativa Exhibits Propitious Interaction with Omicron Variant of SARS-CoV-2: An In Silico Study

Miraz et al., International Journal of Clinical Practice, doi:10.1155/2023/9917306
Feb 2023  
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In Silico study of 96 phytochemical compounds of nigella sativa, identifying Nigelladine A as the most promising compound for SARS-CoV-2 inhibition with the highest docking scores for the spike protein and Mpro. Dithymoquinone, kaempferol, Nigelladine B, Nigellidine, and Nigellidine sulphate also showed high docking scores.
Miraz et al., 20 Feb 2023, peer-reviewed, 13 authors.
In Silico studies are an important part of preclinical research, however results may be very different in vivo.
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Nigelladine A among Selected Compounds from Nigella sativa Exhibits Propitious Interaction with Omicron Variant of SARS-CoV-2: An In Silico Study
Md Mehedy Hasan Miraz, Md Afif Ullah, Abdullah Al Nayem, Brototi Chakrobortty, Sanjoy Deb, Anee Laskar, Nishita Umaya Tithi, Nilay Saha, Anita Rani Chowdhury, K M Khairul Alam, Tania Binte Wahed, Mohammad Khursheed Alam, Sukalyan Kumar Kundu
International Journal of Clinical Practice, doi:10.1155/2023/9917306
COVID-19 has been a threat to the entire world for more than two years since its outbreak in December 2019 in Wuhan city of China. SARS-CoV-2, the causative agent, had been reported to mutate over time exposing new variants. To date, no impeccable cure for the disease has been unveiled. Tis study outlines an extensive in silico approach to scrutinize certain phytochemical compounds of Nigella sativa (mainly the black cumin seeds) targeting the spike protein and the main protease (M pro ) enzyme of the Omicron variant of SARS-CoV-2. Te objective of this study is to investigate the extracted compounds with a view to developing a potential inhibitor against the concerned SARS-CoV-2 variant. Te investigation contemplates drug-likeness analysis, molecular docking study, ADME and toxicity prediction, and molecular dynamics simulation which have been executed to elucidate diferent phytochemical and pharmacological properties of the tested compounds. Based on drug-likeness parameters, a total of 96 phytochemical compounds from N. sativa have been screened in the study. Interestingly, Nigelladine A among the compounds exhibited the highest docking score with both the targets with the same binding afnity which is −7.8 kcal/mol. However, dithymoquinone, kaempferol, Nigelladine B, Nigellidine, and Nigellidine sulphate showed mentionable docking scores. Molecular dynamics up to 100 nanoseconds were simulated under GROMOS96 43a1 force feld for the protein-ligand complexes exhibiting the top-docking score. Te root mean square deviations (RMSD), root mean square fuctuations (RMSF), radius of gyration (Rg), solvent accessible surface area (SASA), and the number of hydrogen bonds have been evaluated during the simulation. From the fndings, the present study suggests that Nigelladine A showed the most promising results among the selected molecules. Tis framework, however, interprets only a group of computational analyses on selected phytochemicals. Further investigations are required to validate the compound as a promising drug against the selected variant of SARS-CoV-2.
Conflicts of Interest Te authors declare that they have no conficts of interest. Supplementary Materials Te supplementary materials include the data of Lipinski's Rule of Five and Ghose's Rules Data and Docking scores. (Supplementary Materials)
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