Computational Design of a Phytochemical Drug Candidate Targeting Monkeypox Virus D8l and D4r/A20r Complex: An in Silico Study of Pharmacophoreand Molecular Prediction
DOI:
https://doi.org/10.54536/ajbb.v5i1.7694Keywords:
Bioinoformatics, Computational biology, Drug Screening, Molecular Docking, MPXVAbstract
Due to its rapid spread and the absence of approved antiviral treatments, Monkeypox virus (MPXV) has been declared as a global health emergency. This study aimed to identify possible drug candidates targeting MPXV vaccinia proteins D8L which is involved in host cell entry, and D4R/A20R Complex responsible for viral DNA replication and host cell entry. Phytochemical and pharmacophore compounds were assessed against MPXV target proteins using an in silico quantitative method that combined computational screening, molecular docking, and protein–ligand interaction analysis. Protein and ligand libraries were obtained from RCSB PDB, NCBI BLASTp, PubChem, and DrugBank. Drug-likeness and pharmacokinetic properties were assessed using ADMETLab 3.0. This screening reduced the initial number of 1,854 phytochemical and 808 pharmacophore compounds to 168 phytochemical and 11 pharmacophore candidates. The compounds that satisfied the former criterion were subjected to molecular docking and cavity assessment using CB-Dock which was then followed by an interaction analysis using PLIP. The leading ligands were then further evaluated using a criterion derived from docking rank, hydrogen bonds, and hydrophobic interactions gained. Among the three (3) methods, Artonol A and Camptothecin showed identical strong binding affinities of −9.1 kcal/mol and achieved the highest scores against their respective proteins. These findings support further experimental validation by in vitro and in vivo tests as possible choices for treating MPXV.
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References
Abdi, S. A. H., Ali, A., Sayed, S. F., Abutahir, A., & Alam, P. (2022). Multi-epitope-based vaccine candidate for monkeypox: an in silico approach. Vaccines, 10(9), 1564. https://doi.org/10.3390/vaccines10091564
Amjid, M., Khan, M. M., Pastore, S. F., Vincent, J. B., & Muhammad, T. (2025). Computational screening of antiviral candidates for monkeypox virus DNA polymerase and A42R protein. PLoS Neglected Tropical Diseases, 19(7), e0013312. https://doi.org/10.1371/journal.pntd.0013312
Benet, L. Z., Hosey, C. M., Ursu, O., & Oprea, T. I. (2016). BDDCS, the rule of 5 and druggability. Advanced Drug Delivery Reviews, 101, 89–98. https://doi.org/10.1016/j.addr.2016.05.007
Bhambhani, S., Kondhare, K. R., & Giri, A. P. (2021). Diversity in chemical structures and biological properties of plant alkaloids. Molecules, 26(11), 3374. https://doi.org/10.3390/molecules26113374
Bhardwaj, P., Sarkar, S., & Mishra, R. (2024). Mpox and related poxviruses: a literature review. Asian Pacific Journal of Tropical Biomedicine, 14(8), 319–330. https://doi.org/10.4103/2221-1691.385336
Bunge, E. M., Hoet, B., Chen, L., Lienert, F., Weidenthaler, H., Baer, L. R., Steffen, R., & Theeuwes, A. (2022). The changing epidemiology of human monkeypox. PLoS Neglected Tropical Diseases, 16(2), e0010141. https://doi.org/10.1371/journal.pntd.0010141
Burmeister, W. P., Boutin, L., Balestra, A. C., Gröger, H., Ballandras-Colas, A., Hutin, S., Jamin, M., Iseni, F., & Tarbouriech, N. (2024). Structure and flexibility of vaccinia virus DNA polymerase. PLoS Pathogens, 20(5), e1011652. https://doi.org/10.1371/journal.ppat.1011652
Chen, K. T. (2022). Emerging infectious diseases and One Health. International Journal of Environmental Research and Public Health, 19(15), 9081. https://doi.org/10.3390/ijerph19159081
De Freitas, R. F., & Schapira, M. (2017). Atomic protein–ligand interactions in the PDB. MedChemComm, 8(10), 1970–1981. https://doi.org/10.1039/C7MD00381A
Domínguez-Arca, V., Hellweg, T., & Antelo, L. T. (2025). Marine saponins as bioactive agents. Marine Drugs, 23(6), 227. https://doi.org/10.3390/md23060227
Du, X., Li, Y., Xia, Y., Ai, S., Liang, J., Sang, P., Ji, X., & Liu, S. (2016). Insights into protein–ligand interactions: mechanisms, models, and methods. International Journal of Molecular Sciences, 17(2), 144. https://doi.org/10.3390/ijms17020144
Dubey, A., Kumar, M., Tufail, A., Dwivedi, V. D., & Ragusa, A. (2025). Antiviral potentials of traditional plants. Journal of Infection and Public Health, 18(10), 102885. https://doi.org/10.1016/j.jiph.2025.102885
European Medicines Agency. (2024). Clinical efficacy and safety guidelines. https://www.ema.europa.eu
Fraga-Corral, M., Otero, P., Cassani, L., Echave, J., Garcia-Oliveira, P., Carpena, M., Lorenzo, J. M., Prieto, M. A., & Simal-Gandara, J. (2021). Tannin-rich extracts: sources, properties, and applications. Foods, 10(2), 251. https://doi.org/10.3390/foods10020251
Gleeson, M. P. (2008). Generation of a set of simple, interpretable ADMET rules of thumb. Journal of Medicinal Chemistry, 51(4), 817–834. https://doi.org/10.1021/jm701122q
Hajdaś, G., Koenig, H., & Pospieszny, T. (2025). Steroid discovery and bioactivity. International Journal of Molecular Sciences, 26(7), 3203. https://doi.org/10.3390/ijms26073203
Hajduk, P. J., Huth, J. R., & Fesik, S. W. (2005). Druggability indices for protein targets derived from NMR-based screening data. Journal of Medicinal Chemistry, 48(7), 2518–2525. https://doi.org/10.1021/jm0497146
Harigua-Souiai, E., Cortes-Ciriano, I., Desdouits, N., Malliavin, T. E., Guizani, I., Nilges, M., & Aci-Sèche, S. (2015). Identification of binding sites through virtual screening. BMC Bioinformatics, 16(1), 93. https://doi.org/10.1186/s12859-015-0538-5
Hughes, J. D., Rees, S., Kalindjian, S. B., & Philpott, K. L. (2008). Principles of early drug discovery. British Journal of Pharmacology, 153(S1), S8–S13. https://doi.org/10.1038/sj.bjp.0707593
Johnson, M., Zaretskaya, I., Raytselis, Y., Merezhuk, Y., McGinnis, S., & Madden, T. L. (2008). NCBI BLAST: a better web interface. Nucleic Acids Research, 36(Suppl. 2), W5–W9. https://doi.org/10.1093/nar/gkn201
Johnson, T. W., Dress, K. R., & Edwards, M. (2009). Using the Golden Triangle to optimize drug properties. Bioorganic & Medicinal Chemistry Letters, 19(19), 5560–5564. https://doi.org/10.1016/j.bmcl.2009.08.032
Kamiya, Y., Handa, K., Miura, T., Yanagi, M., Shigeta, K., Hina, S., Kageyama, Y., Sugiyama, Y., & Nakakariya, M. (2021). PBPK modeling in drug discovery. Chemical Research in Toxicology, 34(2), 507–513. https://doi.org/10.1021/acs.chemrestox.0c00413
Kobayashi, N. (2018). Emerging viral diseases and their global impact. Open Virology Journal, 12(1), 131–133. https://doi.org/10.2174/1874357901812010131
Kozakov, D., Hall, D. R., Napoleon, R. L., Yueh, C., Whitty, A., & Vajda, S. (2015). New frontiers in druggability. Journal of Medicinal Chemistry, 58(23), 9063–9088. https://doi.org/10.1021/acs.jmedchem.5b00586
Kulkarni, V. S., Alagarsamy, V., Solomon, V. R., Jose, P. A., & Murugesan, S. (2023). Drug repurposing approaches. Russian Journal of Bioorganic Chemistry, 49(2), 157–166. https://doi.org/10.1134/S1068162023020105
Lai, H., Wang, L., Qian, R., Huang, J., Zhou, P., Ye, G., Zhang, X., Li, J., & Wang, H. (2024). Interformer: A docking-based deep learning model. Nature Communications, 15, 10223. https://doi.org/10.1038/s41467-024-54552-7
Lautié, E., Russo, O., Ducrot, P., & Boutin, J. A. (2020). Unraveling plant chemical diversity for drug discovery. Frontiers in Pharmacology, 11, 397. https://doi.org/10.3389/fphar.2020.00397
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001). Experimental and computational approaches to solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews, 46(1–3), 3–26. https://doi.org/10.1016/S0169-409X(00)00129-0
Liu, Y., Grimm, M., Dai, W. T., Hou, M. C., Xiao, Z. X., & Cao, Y. (2020). CB-Dock: A web server for cavity detection-guided protein–ligand blind docking. Bioinformatics, 36(24), 5733–5735. https://doi.org/10.1093/bioinformatics/btaa114
Loving, K. A., Lin, A., & Cheng, A. C. (2014). Structure-based druggability assessment of the mammalian structural proteome with inclusion of light protein flexibility. PLoS Computational Biology, 10(7), e1003741. https://doi.org/10.1371/journal.pcbi.1003741
Monteiro, A. C. B., França, R. P., Arthur, R., & Iano, Y. (2021). Fundamentals of translational medicine. In Elsevier eBooks (pp. 13–27). Elsevier. https://doi.org/10.1016/B978-0-12-823467-9.00010-2
Ndayambaje, M., Munyeshyaka, E., Dieumerci, O., Habyarimana, T., Ndishimye, P., Naya, A., Nsanzabera, J., & Uwizeyimana, J. (2025). Plant-derived molecules targeting monkeypox virus. Beni-Suef University Journal of Basic and Applied Sciences, 14(1), 52. https://doi.org/10.1186/s43088-025-00532-1
Nittinger, E., Inhester, T., Bietz, S., Meyder, A., Schomburg, K. T., Lange, G., Klein, R., & Rarey, M. (2017). Large-scale analysis of hydrogen bond interaction patterns in protein–ligand interfaces. Journal of Medicinal Chemistry, 60(10), 4245–4257. https://doi.org/10.1021/acs.jmedchem.7b00173
Ojo, O., Njanje, I., Abdissa, D., Swart, T., Higgitt, R. L., & Dorrington, R. A. (2025). Terpenoids from Aspergillus species. Natural Products and Bioprospecting, 15(1), 19. https://doi.org/10.1007/s13659-025-00461-4
Pharmacophores. (n.d.). Fiveable. https://library.fiveable.me
Pinzi, L., & Rastelli, G. (2019). Molecular docking: shifting paradigms in drug discovery. International Journal of Molecular Sciences, 20(18), 4331. https://doi.org/10.3390/ijms20184331
Pokorny, L., Burden, J. J., Albrecht, D., Bamford, R., Leigh, K. E., Sridhar, P., Brown, N., & Mercer, J. (2024). Vaccinia protein interactions. EMBO Reports, 25(3), 1310–1325. https://doi.org/10.1038/s44319-024-00052-8
Preet, G., Oluwabusola, E. T., Milne, B. F., Ebel, R., & Jaspars, M. (2022). Mitoxantrone docking study. International Journal of Molecular Sciences, 23(22), 14287. https://doi.org/10.3390/ijms232214287
Riccardo, V., & Pablo, G.-C. (2023). Neutralization determinants on poxviruses. Viruses, 15(12), 2396. https://doi.org/10.3390/v15122396
RCSB Protein Data Bank. (2023a). 4E9O: Vaccinia D8L ectodomain structure. https://www.rcsb.org/structure/4E9O
RCSB Protein Data Bank. (2023b). 4OD8: Vaccinia virus DNA polymerase structure. https://www.rcsb.org/structure/4OD8
Rosa, I. D., Kent, L., & Way, M. (2025). Vaccinia replication roles. Nucleic Acids Research, 53(12), gkaf512. https://doi.org/10.1093/nar/gkaf512
Santos, A. N. C. D., De Oliveira, P. E. G., Da Cruz Freire, J. E., Santos, S. A. D., Júnior, J. E. R. H., De Andrade, C. R., De Lima, M. D. C. A., & Pereira, M. S. V. (2025). Monoterpenoid phytochemicals. International Journal of Molecular Sciences, 26(16), 7671. https://doi.org/10.3390/ijms26167671
Shen-Gunther, J., Cai, H., & Wang, Y. (2025). Genomic differences of monkeypox virus. International Journal of Molecular Sciences, 26(4), 1428. https://doi.org/10.3390/ijms26041428
Stachelska, M. A., Karpiński, P., & Kruszewski, B. (2025). Flavonoids: biological activities and applications. Applied Sciences, 15(19), 10840. https://doi.org/10.3390/app151910840
Swain, C. (2019). Molecular interactions. Cambridge MedChem Consulting. https://cambridgemedchemconsulting.com
Tobin, D. (2024). What is data privacy and why is it important? https://www.integrate.io
Vittorio, S., Lunghini, F., Morerio, P., Gadioli, D., Orlandini, S., Silva, P., Bortolotti, A., & Tosatto, S. C. E. (2024). Docking pose selection strategies. Computational and Structural Biotechnology Journal, 23, 2141–2151. https://doi.org/10.1016/j.csbj.2024.04.021
Wang, J., Hou, T., & Xu, X. (2022). ADMET evaluation progress. Drug Discovery Today, 27(1), 123–135. https://doi.org/10.1016/j.drudis.2021.09.010
World Health Organization. (2024). Mpox. https://www.who.int/news-room/fact-sheets/detail/mpox
World Health Organization. (2024). Mpox fact sheet. https://www.who.int
Yu, H., Resch, W., & Moss, B. (2025). Poxvirus structural biology. Trends in Immunology, 46(6), 455–470. https://doi.org/10.1016/j.it.2025.03.004
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Copyright (c) 2026 Lian Gail I. Lontiong, Acmilah Batawe, Carmela Plana, Ma. Grace Suganob, Mary Antoinette Yap, Mia Joy A. Inocencio, Carlos F. Gaygay, Jr.

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