Computational Prediction of Cassia angustifolia Compounds as a potential Drug Agents against Main Protease of SARS-nCov2

Rashid Saif, Kanza Ashfaq, Ghafran Ali, Ali Iftekhar, Saeeda Zia, Muhammad Zubair Yousaf

Abstract


Background: In November-December 2019, a plethora of pneumonia like cases were reported in Wuhan, China. After some time, the causative agent of this ailment was identified and named as a novel coronavirus 2. This novel virus spread over the world with no time and declared as pandemic by WHO. To develop antiviral drugs, different clinically used drugs were used as a trial but went in vain. In the current study, we choose an herb with already known therapeutic effects to check its antiviral properties against this virus too.

Methods: Cassia angustifolia is a well-known herb for pharmaceutical industries as its different compounds are already used in different medicines. Here we performed molecular docking of main compounds of Cassia angustifolia against the main protease of SARS-nCoV2 and were compared with different drugs that are already being used on commercial bases to obtain the lowest energy complex. Auto-Dock vina and its packages were used for molecular docking of SARS-nCov2.

Results: Molecular docking of Cassia angustifolia compounds represent very promising binding energies complexes, e.g., Sennoside B gives -9.05kcal/mol and Aloe-Emodin give -4 Kcal/mol of energy against the main protease of coronavirus. In contrast, a couple of commercially used antiviral drugs were also evaluated against the selected protein of coronavirus e.g., Hydroxychloroquine and Ribavirin complexes appeared with -5.2 Kcal/mol and -6.3 Kcal/mol of energy respectively.

Conclusion: Many compounds of Cassia angustifolia showed the promising energy complexes even better than the commercially used antiviral drugs e.g., Sennoside B which has the best energies against main protease of coronavirus. Further, in-vivo and in-vitro studies are needed to validate this hypothesis with advanced MD simulations and wet-lab experimentations.

Keywords: Molecular docking; 6LU7; Auto-Dock Vina; SARS-nCov2 


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