Molecular Docking and Dynamics of 2,5-Pyrrolidinedione Analogue Using the SARS-CoV-2 Main Protease as Target Protein
Backgrounds: The goal of this study was to employ molecular docking and dynamics to investigate the interactions of twelve maleimide and succinimide derivatives (SD1-SD12) with the SARS-CoV-2 main protease (Mpro) (PDB ID:6LU7). Materials & Methods: Molecular docking and molecular dynamics simulations were performed to study the interaction of twelve derivatives (SD1-SD12) of maleimide and succinimide with the SARS-CoV-2 main protease (Mpro) (PDB ID:6LU7). Four compounds (SD1, SD4, SD8, and SD12) were selected for further molecular docking analysis based on their binding energies (-7, -7.3, -7.3, and -7.2 kcal/mol, respectively), which were lower than the other compounds and close to the control crystal (-8.5 kcal/mol). Molecular docking was used to find the binding energy of non-bonding interactions between ligand and receptor in connection to the SARS-CoV-2 main protease (PDB code: 6LU7).Findings: Molecular docking results showed binding energies ranging from -7.3 to -6.5 kcal/mol for the 2,5-pyrrolidinedione analog, the co-crystallized control ligand exhibited a binding energy of -8.5 kcal/mol. SD1 exhibited the best binding mode and drug-like properties to inhibit the SARS-CoV-2 main protease compared to the other ligands. Among the demonstrated interactions with the protein, RMSD (root mean square deviation) values decreased due to the improved and more stable states. Conclusion: Overall, the current study proposed a strategy to combat COVID-19 using pharmaceuticals as prospective agents, which might also serve as a starting point for drug discovery. Additional studies on the target compounds are expected to yield substantial advances in the fight against COVID-19.
Authors
- Kawkab Ali Hussein (ORCID: https://orcid.org/0000-0001-9796-0929)
- Kithar Rasheed Majeed (ORCID: https://orcid.org/0000-0002-7109-9621)
- R. Mamoun
- Ali A. A. Al-Shawi (ORCID: https://orcid.org/0000-0002-0690-4612)
- Mohnad Abdalla (ORCID: https://orcid.org/0000-0002-1682-5547)
- Wafa Ali Eltayb (ORCID: https://orcid.org/0000-0002-3981-201X)
- Sultan D. Y. Albakhit (ORCID: https://orcid.org/0000-0003-3826-811X)
- Osama A. Mohsein
- Syed Ahsan Ali (ORCID: https://orcid.org/0000-0002-8174-8824)
- Salsabila Alia Syifa Ibrahim
- Noor H. Faisal
Institutions
- University of Basrah (IQ)
- Tianjin University of Science and Technology (CN)
- Shandong University (CN)
- Thi Qar University (IQ)
- Tianjin Institute of Pharmaceutical Research (China) (CN)
- Shendi University (SD)
Publication Details
- Journal
- Infection Epidemiology and Microbiology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.61882/iem.11.3.269
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00