Therapeutic switching of metronidazole anti-cancerous compounds as anti SARS-COV-2 inhibitors: integration of QSAR, molecular docking, MD simulation and ADMET analysis
The global economy and public health are seriously at risk because of the COVID-19 outbreak brought on by the SARS-CoV-2. Currently, there is no specific medication available to treat COVID-19 patients. A quick method used to find out the treatment of newly developing infectious diseases like SARS COV-2 by drug repurposing. Metronidazole (3-methyl-5-nitroimidazole) is a synthetic, azomycin derivative having strong bacteriocidal and antiparasitic properties. Metronidazole (MTZ) derivatives are commercially broad spectrum containing pertinent antibacterial activity and a reasonable safety profile. MTZ structures were designed using chemdraw professional and subjected to field base and atom base QSAR and displayed good results by identifying 9 compounds as active. Molecular docking was performed with 9 proteins from which highest docking score was ranged from − 6.305 to − 8.044 of MT35 with 7aot as compared to standard drug (Lopinavir, showed docking score − 5.504 with same protein). Docking was further validated by redocking by RMSD score in range of 2 Å. MMGB/SA results showed the negative binding energy values of docked protein–ligand complexes comparable to standard drug and MD stimulation were also performed for the structure flexibility showed 1.00 Å RMSF for three protein at maximum fluctuation. Selected drug (MT35) showed good ADME properties which may need to be synthesized followed by in vitro and in vivo study against SARS-CoV-2.
Authors
- Amira Metouekel (ORCID: https://orcid.org/0000-0001-8634-6974)
- Mohammed Bourhia (ORCID: https://orcid.org/0000-0003-3707-8461)
- Zill-i-Huma Nazli
- Turki M. Dawoud (ORCID: https://orcid.org/0000-0002-5945-1776)
- Nusrat Shafiq (ORCID: https://orcid.org/0000-0002-3270-4227)
- Youssouf Ali Younous (ORCID: https://orcid.org/0009-0000-6869-6508)
- Aniqa Moveed
- Maryam Rashid (ORCID: https://orcid.org/0000-0002-5583-4075)
- Shagufta Parveen (ORCID: https://orcid.org/0000-0003-1993-3786)
- Rabia Khalil
Institutions
- University of N'Djamena (TD)
- King Saud University (SA)
- Université Ibn Zohr (MA)
- Government College Women University Faisalabad (PK)
Publication Details
- Journal
- Discover Life
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1007/s11084-024-09653-6
- Citations
- 6
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.17