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  3. Vol. 8 No. 1 (2025): IPA- Vol 8, Issue 1
  4. Original Research article

Vol. 8 No. 1 (2025)

April 2025

Computer-Aided Design of Thiazolone Derivatives Targeting HCV NS5B Allosteric Site Using Molecular Docking, ADME/Tox Profiling, and Dynamics

  • Mehdi Gueroui
  • Amina Kerrada
  • Lina Bouden
  • Lina Bouchra Nedjar
  • Aya Aiech

International Pharmacy Acta, Vol. 8 No. 1 (2025), 6 April 2025 , Page e10: 1-8
https://doi.org/10.22037/ipa.v8i1.50712 Published: 2025-12-08

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Abstract

Hepatitis C virus (HCV) remains a major health concern, with the NS5B RNA-dependent RNA polymerase representing a crucial target for antiviral drug discovery. This study aimed to identify selective NS5B inhibitors from a library of thiazolone derivatives using an integrated computer-aided drug design workflow. Molecular docking was performed with AutoDock Vina via PyRx on 1000 compounds, and pharmacokinetic and toxicity properties were evaluated using SwissADME and PreADMET. Normal Mode Analysis (NMA) was then applied through the iMODS server to assess the dynamic effects of ligand binding on protein flexibility. Three compounds, CID137131214, CID135435208, and CID2329878, demonstrated strong binding affinities, favorable ADME/Tox profiles, and key interactions with the NS5B allosteric site. Notably, CID135435208 induced a rigidifying effect, supporting its inhibitory potential. These results highlight promising scaffolds for further biological validation and provide a rational framework for the design of novel HCV therapeutics. However, this study is limited by the lack of experimental validation, which will be addressed in future work.

Keywords:
  • HCV
  • NS5B polymerase
  • thiazolone derivatives
  • molecular docking
  • ADME/Tox
  • normal mode analysis
  • IPA-2025 Vol8i1-e10

How to Cite

Gueroui, M., Kerrada, A., Bouden, L., Nedjar, L. B., & Aiech, A. (2025). Computer-Aided Design of Thiazolone Derivatives Targeting HCV NS5B Allosteric Site Using Molecular Docking, ADME/Tox Profiling, and Dynamics. International Pharmacy Acta, 8(1), e10: 1–8. https://doi.org/10.22037/ipa.v8i1.50712
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References

1. Kim A. Hepatitis C Virus. Ann Intern Med. 6 Sept 2016;165(5): ITC33 48.

2. Taha G, Ezra L, Abu-Freha N. Hepatitis C Elimination: Opportunities and Challenges in 2023. Viruses. juill 2023;15(7):1413.

3. Tohme RA, Holmberg SD. Is sexual contact a major mode of hepatitis C virus transmission? Hepatology. 2010;52(4):1497 505.

4. Lonardo A, Adinolfi LE, Restivo L, Ballestri S, Romagnoli D, Baldelli E, et al. Pathogenesis and significance of hepatitis C virus steatosis: An update on survival strategy of a successful pathogen. World J Gastroenterol. 21 juin 2014;20(23):7089 103.

5. Bassani D, Moro S. Past, Present, and Future Perspectives on Computer-Aided Drug Design Methodologies. Molecules. janv 2023;28(9):3906.

6. Dudareva S, Faber M, Zimmermann R, Bock CT, Offergeld R, Steffen G, et al. Epidemiologie der Virushepatitiden A bis E in Deutschland. Bundesgesundheitsbl. 1 févr 2022;65(2):149 58.

7. Rossi LMG, Escobar-Gutierrez A, Rahal P. Advanced Molecular Surveillance of Hepatitis C Virus. Viruses. mars 2015;7(3):1153 88.

8. Shepard CW, Finelli L, Alter MJ. Global epidemiology of hepatitis C virus infection. The Lancet Infectious Diseases. 1 sept 2005;5(9):558 67.

9. Couroucé AM. De l’hépatite non-A non-B à l’hépatite C. Transfusion Clinique et Biologique. 1 janv 1997;4(3):287 90.

10. El-Kassas M, Awad A. Metabolic aspects of hepatitis C virus. World J Gastroenterol. 14 juin 2022;28(22):2429 36.

11. Chigbu DI, Loonawat R, Sehgal M, Patel D, Jain P. Hepatitis C Virus Infection: Host–Virus Interaction and Mechanisms of Viral Persistence. Cells. 25 avr 2019;8(4):376.

12. Jafri S, Gordon SC. Epidemiology of Hepatitis C. Clinical Liver Disease. déc 2018;12(5):140 2.

13. Mohd Hanafiah K, Groeger J, Flaxman AD, Wiersma ST. Global epidemiology of hepatitis C virus infection: New estimates of age-specific antibody to HCV seroprevalence. Hepatology. 2013;57(4):1333 42.

14. Gower E, Estes C, Blach S, Razavi-Shearer K, Razavi H. Global epidemiology and genotype distribution of the hepatitis C virus infection. J Hepatol. nov 2014;61(1 Suppl):S45-57.

15. Chevaliez S, Pawlotsky JM. Hepatitis C Virus Serologic and Virologic Tests and Clinical Diagnosis of HCV-Related Liver Disease. International Journal of Medical Sciences. 1 avr 2006;3(2):35 40.

16. Agu PC, Afiukwa CA, Orji OU, Ezeh EM, Ofoke IH, Ogbu CO, et al. Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases management. Sci Rep. 17 août 2023;13(1):13398.

17. Fadlan A, Nusantoro YR. The Effect of Energy Minimization on The Molecular Docking of Acetone-Based Oxindole Derivatives. JKPK (Jurnal Kimia dan Pendidikan Kimia). 30 avr 2021;6(1):69 77.

18. Jain R. Review on Computational Bioinformatics and Molecular Modelling: Novel Tool for Drug Discovery. International Journal of Trend in Scientific Research and Development. 31 déc 2018;Volume-3:51 6.

19. Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, Kopple KD. Molecular Properties That Influence the Oral Bioavailability of Drug Candidates. J Med Chem. 1 juin 2002;45(12):2615 23.

20. Kamiya Y, Handa K, Miura T, Yanagi M, Shigeta K, Hina S, et al. In Silico Prediction of Input Parameters for Simplified Physiologically Based Pharmacokinetic Models for Estimating Plasma, Liver, and Kidney Exposures in Rats after Oral Doses of 246 Disparate Chemicals. Chem Res Toxicol. 15 févr 2021;34(2):507 13.

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