Gepants against SARS COV-2 Main Protease
Keywords:
AutoDock Vina, PyRx, CGRPRAbstract
in the present in Silico work, we focused on “Gepants", used for the treatment of Migraine, as a potential target of SARS-COV-2 Main Protease, using Molecular Docking Analysis. From Autodock Vina and Autodock 4 results, we found out Zavegepant (as knownVazegepant), which has significant binding energy and excellent affinity against SARS-COV-2 Main pro. Indeed, it has shown a high Binding Energy score, of about -11.43 kcal mol -1, and an excellent estimation of Inhibitory constant Ki 4.19 nM.
References
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., and Tan, W. “A Novel Coronavirus from Patients with Pneumonia in China, 2019”, New England Journal of Medicine , Vol. 382, Issue. 8, pp. 727–733, 2020, https://doi.org/10.1056/nejmoa2001017.
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., Xia, J., Yu, T., Zhang, X., and Zhang, L.. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study, The Lancet ,Vol. 395, Issue. 10223, pp.507–513, 2020, https://doi.org/10.1016/S0140-6736(20)30211-7.
Jin, Z., Du, X., Xu, Y., Deng, Y., Liu, M., Zhao, Y., Zhang, B., Li, X., Zhang, L., Peng, C., Duan, Y., Yu, J., Wang, L., Yang, K., Liu, F., Jiang, R., Yang, X., You, T., Liu, X., Yang, X., andYang, H. “ Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors”, Nature, Vol.582, Issue.7811, pp. 289–293, 2020. https://doi.org/10.1038/s41586-020-2223-y.
Mostafa, I., Mohamed, N. H., Mohamed, B., Almeer, R., Abulmeaty, M., Bungau, S. G., El-Shazly, A. M., and Yahya, G. “ In-silico screening of naturally derived phytochemicals against SARS-CoV Main protease”, Environmental science and pollution research international, pp. 1–17, 2021. https://doi.org/10.1007/s11356-021-17642-9.
Sharma, P., Vijayan, V., Pant, P., Sharma, M., Vikram, N., Kaur, P., Singh, T. P., and Sharma, S. “ Identification of potential drug candidates to combat COVID-19: a structural study using the main protease (Mpro) of SARS-CoV-2”, Journal of biomolecular structure & dynamics, Vol.39, Issue.17, pp. 6649–6659,2021. https://doi.org/10.1080/07391102.2020.1798286.
Negro, A., & Martelletti, P. “Gepants for the treatment of migraine”, Expert opinion on investigational drugs, Vol. 28, Issue.6, pp. 555–567, 2019. https://doi.org/10.1080/13543784.2019.1618830.
Tepper D. “Gepants”, Headache, Vol.60, Issue.5, pp.1037–1039, 2020. https://doi.org/10.1111/head.13791.
Moreno-Ajona, D., Pérez-Rodríguez, A., and Goadsby, P. J. “Gepants, calcitonin-gene-related peptide receptor antagonists: what could be their role in migraine treatment?”, Current opinion in neurology, Vol.33, Issue.3, pp.309-315, 2020.
Dallakyan, S., and Olson, A. J. “Small-molecule library screening by docking with PyRx”, In Chemical biology pp. 243-250, Humana Press, New York, NY, 2015.
Valdés-Tresanco, M. S.; Valdés-Tresanco, M. E.; Valiente, P. A.; Moreno, E. AMDock: “A Versatile Graphical Tool for Assisting Molecular Docking with Autodock Vina and Autodock4”, Biology Direct, Vol. 15 , Issue.1, 2020, https://doi.org/10.1186/s13062-020-00267-2.
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., and Ferrin, T. E. “UCSF Chimera--a visualization system for exploratory research and analysis”, Journal of computational chemistry , Vol. 25, Issue.13, pp. 1605–1612, 2004, https://doi.org/10.1002/jcc.20084 .
Morris, G. M., Huey, R., Lindstrom, W., Sanner, M. F., Belew, R. K., Goodsell, D. S., and Olson, A. J. “AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility”, Journal of computational chemistry, Vol. 30, Issue.6, pp. 2785–2791, 2009. https://doi.org/10.1002/jcc.21256.
Schwede, T.; Kopp, J.; Guex, N.; Peitsch, M. C. “SWISS-MODEL: An Automated Protein Homology-Modeling Server”, Nucleic Acids Research,Vol.31,Issue.13,pp.3381–3385,2003, https://doi.org/10.1093/nar/gkg520.
Wallace, A. C., Laskowski, R. A., & Thornton, J. M. “ LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions”, Protein engineering, design and selection, Vol. 8, Issue.2, pp. 127-134, 1995.
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