Computational Design of a Phytochemical Drug Candidate Targeting Monkeypox Virus D8l and D4r/A20r Complex: An in Silico Study of Pharmacophoreand Molecular Prediction

Authors

  • Lian Gail I. Lontiong Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Acmilah Batawe Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Carmela Plana Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Ma. Grace Suganob Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Mary Antoinette Yap Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Mia Joy A. Inocencio Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines
  • Carlos F. Gaygay, Jr. Notre Dame of Marbel University – Integrated Basic Education Department Senior High School, Philippines

DOI:

https://doi.org/10.54536/ajbb.v5i1.7694

Keywords:

Bioinoformatics, Computational biology, Drug Screening, Molecular Docking, MPXV

Abstract

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.

Downloads

Download data is not yet available.

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

Downloads

Published

2026-09-23

How to Cite

Lontiong, L. G., Batawe, A., Plana, C., Suganob, M. G., Yap, M. A., Inocencio, M. J., & Gaygay, Jr, C. (2026). Computational Design of a Phytochemical Drug Candidate Targeting Monkeypox Virus D8l and D4r/A20r Complex: An in Silico Study of Pharmacophoreand Molecular Prediction. American Journal of Bioscience and Bioinformatics, 5(1), 35-45. https://doi.org/10.54536/ajbb.v5i1.7694

Similar Articles

You may also start an advanced similarity search for this article.