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Kumar S, Dubey R, Mishra R, Gupta S, Dwivedi VD, Ray S, Jha NK, Verma D, Tsai LW, Dubey NK. Repurposing of SARS-CoV-2 compounds against Marburg Virus using MD simulation, mm/GBSA, PCA analysis, and free energy landscape. J Biomol Struct Dyn 2024:1-20. [PMID: 38450706 DOI: 10.1080/07391102.2024.2323701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024]
Abstract
The significant mortality rate associated with Marburg virus infection made it the greatest hazard among infectious diseases. Drug repurposing using in silico methods has been crucial in identifying potential compounds that could prevent viral replication by targeting the virus's primary proteins. This study aimed at repurposing the drugs of SARS-CoV-2 for identifying potential candidates against the matrix protein VP40 of the Marburg virus. Virtual screening was performed where the control compound, Nilotinib, showed a binding score of -9.99 kcal/mol. Based on binding scores, hit compounds 9549298, 11960895, 44545852, 51039094, and 89670174 were selected that had a lower binding score than the control. Subsequent molecular dynamics (MD) simulation revealed that compound 9549298 consistently formed a hydrogen bond with the residue Gln290. This was observed both in molecular docking and MD simulation poses, indicating a strong and significant interaction with the protein. 11960895 had the most stable and consistent RMSD pattern exhibited in 100 ns simulation, while 9549298 had the most identical RMSD plot compared to the control molecule. MM/PBSA analysis showed that the binding free energy (ΔG) of 9549298 and 11960895 was lower than the control, with -30.84 and -38.86 kcal/mol, respectively. It was observed by the PCA (principal component analysis) and FEL (free energy landscape) analysis that compounds 9549298 and 11960895 had lesser conformational variation. Overall, this study proposed 9549298 and 11960895 as potential binders of VP40 MARV that can cause its inhibition, however it inherently lacks experimental validation. Furthermore, the study proposes in-vitro experiments as the next step to validate these computational findings, offering a practical approach to further explore these compounds' potential as antiviral agents.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sanjay Kumar
- Biological and Bio-computational Lab, Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, UP, India
| | - Rajni Dubey
- Division of Cardiology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei City, Taiwan
| | - Richa Mishra
- Department of Computer Engineering, Parul University, Vadodara, Gujarat, India
| | - Saurabh Gupta
- Department of Biotechnology, GLA University, Mathura, Uttar Pradesh, India
| | - Vivek Dhar Dwivedi
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
- Bioinformatics Research Division, Greater Noida, UP, India
| | - Subhasree Ray
- Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, India
| | - Niraj Kumar Jha
- School of Bioengineering & Biosciences, Lovely Professional University, Phagwara, India
- Centre of Research Impact and Outreach, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
| | - Devvret Verma
- Department of Biotechnology, Graphic Era (Deemed to Be University), Dehradun, Uttarakhand, India
| | - Lung-Wen Tsai
- Department of Medicine Research, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Information Technology Office, Taipei Medical University Hospital, Taipei, Taiwan
- Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
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