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Computational Prediction of Nigella sativa Compounds as Potential Drug Agents for Targeting Spike Protein of SARS-CoV-2

Ali et al., Pakistan BioMedical Journal, doi:10.54393/pbmj.v6i3.853
Mar 2023  
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In Silico study identifying multiple compounds from nigella sativa as inhibitors of SARS-CoV-2. Methyl stearate showed the lowest binding energy and formed a stable complex with the spike protein.
21 preclinical studies support the efficacy of nigella sativa for COVID-19:
Ali et al., 31 Mar 2023, Pakistan, peer-reviewed, 8 authors. Contact: rashid.saif37@gmail.com.
In Silico studies are an important part of preclinical research, however results may be very different in vivo.
This PaperNigella SativaAll
Computational Prediction of Nigella sativa Compounds as Potential Drug Agents for Targeting Spike Protein of SARS-CoV-2
Laraib Ali, Rashid Saif, Muhammad Hassan Raza, Muhammad Osama Zafar, Saeeda Zia, Mehwish Shafiq, Tuba Ahmad, Iram Anjum
Pakistan BioMedical Journal, doi:10.54393/pbmj.v6i3.853
COVID-19 pandemic is caused by the novel coronavirus SARS-CoV-2, which is a member of the Coronaviridae family in the Nidovirales order [1]. The virus was rst identi ed in Wuhan, China in late 2019 and has since spread globally, leading to widespread illness and death [2]. Coronaviruses are responsible for a range of diseases, including respiratory, digestive, enteric, and neurological disorders [3]. The highly transmissible nature of the virus has resulted in its spread to 216 countries worldwide [4]. As of the latest reported gures, there have been 759,408,703 con rmed cases of 866,434 deaths
C o n  i c t s o f I n t e r e s t The authors declare no con ict of interest. S o u r c e o f F u n d i n g The authors received no nancial support for the research, authorship and/or publication of this article.
References
Coutard, Valle, De Lamballerie, Canard, Seidah et al., The spike glycoprotein of the new coronavirus 2019-nCoV contains a furin-like cleavage site absent in CoV of the same clade, Antiviral
Cvetković, Nikolić, Nenadić, Öcal, Noji et al., Preparedness and preventive behaviors for a pandemic disaster caused by COVID-19 in Serbia, International Journal of Environmental Research and Public Health, doi:10.3390/erph17114124
Dias, De Azevedo, Molecular docking algorithms, Currents Drug Targets, doi:10.26434/chemrxiv.12055716
E F E R E N C E S Gorbalenya, Baker, Baric, De Groot, Drosten et al., The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2, Nature Microbiology, doi:10.1038/s41564-020-0695-z
Kamble, Daulatabad, John, John, Synopsis of symptoms of COVID-19 during second wave of the pandemic in India, Hormone Molecular Biology and Clinical Investigation, doi:10.1515/hmbci-2021-0043
Ng, Li, Chua, Chaw, Zhao et al., Evaluation of the effectiveness of surveillance and containment measures for the rst 100 patients with COVID-19 in Singapore-January 2-February 29, Morbidity and Mortality Weekly Report, doi:10.15585/mmwr.mm6911e1
Yin, Li, Ye, Ruan, Liang et al., Molecular docking and dynamic simulation of Olea europaea and Curcuma Longa compounds as potential drug agents for targeting Main-Protease of SARS-nCoV2, doi:10.1016/j.csbj.2022.01
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Methods: The 46 compounds from N. sativa ' 'were docked with spike protein using Molecular Operating Environment (MOE) software and ' 'compared with commercially available anti-viral drugs e.g., Arbidol, Favipiravir, Remdesivir, ' 'Nelfinavir, Chloroquine, Hydroxychloroquine. The Molecular Dynamic Simulation (MDS) analysis ' 'was also applied to determine ligand-protein complex stability. Furthermore, the ' 'pharmacological properties of compounds were also analyzed using AdmetSAR and SwissADME. ' 'Results: Out of its total 46 ligands, 8 compounds i.e., Methyl stearate, Eicosadienoic acid, ' 'Oleic acid, Stearic acid, Linoleic acid, Myristoleic acid, Palmitic acid, and Farnesol were ' 'selected for further analysis based on their minimum binding energy ranges from -7.45 to ' '-7.07 kcal/mol. The docking scores of N. sativa phytocompounds were similar to drugs taken as ' 'control. Moreover, post simulation analysis of Methyl stearate complex predicted the most ' 'stable conformer. Conclusions: Further, in-vivo experiments are suggested to validate the ' 'medicinal use of Methyl stearate as potential inhibitors against spike protein of ' 'SARS-CoV-2.</jats:p>', 'DOI': '10.54393/pbmj.v6i3.853', 'type': 'journal-article', 'created': {'date-parts': [[2023, 4, 19]], 'date-time': '2023-04-19T11:50:20Z', 'timestamp': 1681905020000}, 'page': '18-23', 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': 'Computational Prediction of Nigella sativa Compounds as Potential Drug Agents for Targeting ' 'Spike Protein of SARS-CoV-2', 'prefix': '10.54393', 'author': [ {'given': 'Laraib', 'family': 'Ali', 'sequence': 'first', 'affiliation': []}, {'given': 'Rashid', 'family': 'Saif', 'sequence': 'additional', 'affiliation': []}, {'given': 'Muhammad', 'family': 'Hassan Raza', 'sequence': 'additional', 'affiliation': []}, {'given': 'Muhammad', 'family': 'Osama Zafar', 'sequence': 'additional', 'affiliation': []}, {'given': 'Saeeda', 'family': 'Zia', 'sequence': 'additional', 'affiliation': []}, {'given': 'Mehwish', 'family': 'Shafiq', 'sequence': 'additional', 'affiliation': []}, {'given': 'Tuba', 'family': 'Ahmad', 'sequence': 'additional', 'affiliation': []}, {'given': 'Iram', 'family': 'Anjum', 'sequence': 'additional', 'affiliation': []}], 'member': '32784', 'published-online': {'date-parts': [[2023, 3, 31]]}, 'reference': [ { 'key': 'ref0', 'doi-asserted-by': 'publisher', 'unstructured': '1. 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Current Topics in Medicinal ' 'Chemistry. 2018 Aug; 18(20): 1755-68. doi: ' '10.2174/1568026618666181025114157.', 'DOI': '10.2174/1568026618666181025114157'}], 'container-title': 'Pakistan BioMedical Journal', 'original-title': [], 'link': [ { 'URL': 'https://pakistanbmj.com/journal/index.php/pbmj/article/download/853/674', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://pakistanbmj.com/journal/index.php/pbmj/article/download/853/675', 'content-type': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://pakistanbmj.com/journal/index.php/pbmj/article/download/853/674', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2023, 4, 19]], 'date-time': '2023-04-19T11:50:31Z', 'timestamp': 1681905031000}, 'score': 1, 'resource': {'primary': {'URL': 'https://pakistanbmj.com/journal/index.php/pbmj/article/view/853'}}, 'subtitle': ['Computational Prediction of N. sativa Compounds as Potential Drug Agents'], 'short-title': [], 'issued': {'date-parts': [[2023, 3, 31]]}, 'references-count': 20, 'URL': 'http://dx.doi.org/10.54393/pbmj.v6i3.853', 'relation': {}, 'ISSN': ['2709-2798', '2709-278X'], 'subject': ['General Engineering'], 'container-title-short': 'PBMJ', 'published': {'date-parts': [[2023, 3, 31]]}}
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