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.

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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

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article

Structural Insights and Drug Repurposing of FDA-Approved Molecules against Human Agmatinase in Cancer Therapy

Jamshaid Ahmad, Hina Ahsan, Eman Elsayed Fayad, Irshad Ur Rehman et al.
1 citations
Journal of Computational Biophysics and Chemistry
Peptidase Inhibition and Analysis
0.28
article

Structural Insights and Drug Repurposing of FDA-Approved Molecules against Human Agmatinase in Cancer Therapy

Jamshaid Ahmad, Hina Ahsan, Eman Elsayed Fayad, Irshad Ur Rehman, Dalal Sulaiman Alshaya, Muhammad Alaa Eldeen, Saima Ikram, Zeeshan Khan, Hesham M. Hassan, Amin Ullah
article en
1 citations

Abstract

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.

Journal of Computational Biophysics and ChemistryVol. 24(06)
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)
Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University
Good health and well-being
Openalex Percentile: Top 34%
Peptidase Inhibition and Analysis
0.28
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