Structural Insights and Drug Repurposing of FDA-Approved Molecules against Human Agmatinase in Cancer Therapy
Background: Cancer remains a significant global health challenge, with ongoing research focused on identifying effective therapeutic targets. Human agmatinase (AGMAT), a binuclear manganese enzyme, has been associated with cancer progression through its role in polyamine production and its involvement in the NO/MAPK/PI3K signaling pathway in lung tissue. Objective: This study aimed to identify potential inhibitors of AGMAT from a library of FDA-approved drugs using computational methods, intending to find novel therapeutic agents for cancer treatment. Methods: The three-dimensional structure of AGMAT was determined using homology modeling, with Pseudomonas guanidinobutyrase (GbuA) serving as the template due to its 74% sequence similarity to AGMAT. The model was validated using PROCHECK, Verify3D, ProSA and ERRAT software. High-throughput virtual screening was conducted on a chemical library of approximately 7922 FDA-approved drugs to identify potential AGMAT inhibitors. Molecular docking simulations assessed the binding affinities of these drugs. Results: The virtual screening identified ten lead FDA-approved molecules: Nemifitidum, Examorelin, Pralmorelin hydrochloride, Nonathymulin, Ebiratide, Lypressin, Histrelin, Agripressin, Cetrorelix and Ornipressin that exhibited significant binding affinities to AGMAT. Conclusion: The identified lead compounds represent promising candidates for further investigation as potential cancer therapeutics targeting AGMAT. These findings provide a basis for future experimental validation and the development of new drugs toward cancer treatments.
Authors
- Jamshaid Ahmad (ORCID: https://orcid.org/0000-0003-2105-1918)
- Hina Ahsan (ORCID: https://orcid.org/0000-0003-4509-4381)
- Eman Elsayed Fayad (ORCID: https://orcid.org/0000-0003-2916-0254)
- Irshad Ur Rehman (ORCID: https://orcid.org/0000-0002-2724-6946)
- Dalal Sulaiman Alshaya (ORCID: https://orcid.org/0000-0002-0682-8189)
- Muhammad Alaa Eldeen (ORCID: https://orcid.org/0000-0001-5280-7736)
- Saima Ikram
- Zeeshan Khan (ORCID: https://orcid.org/0000-0002-1562-4460)
- Hesham M. Hassan (ORCID: https://orcid.org/0000-0002-8029-914X)
- Amin Ullah (ORCID: https://orcid.org/0000-0002-6672-0209)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Taif University (SA)
- Riphah International University (PK)
- Iqra National University (PK)
- University of Peshawar (PK)
- Badr University in Cairo (EG)
- King Khalid University (SA)
Publication Details
- Journal
- Journal of Computational Biophysics and Chemistry
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1142/s2737416524500820
- Citations
- 1
- Primary Topic
- Peptidase Inhibition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.28
Funders
- Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University