In silico investigation of phytochemicals from Glycosmis parviflora for potential TNF-α inhibition

Authors

DOI:

https://doi.org/10.62239/jca.2026.020

Keywords:

TNF-α inhibitors, Glycosmis parviflora, triterpenoids, molecular docking

Abstract

This study investigates the TNF-α inhibitory potential of natural compounds using molecular docking with AutoDock Vina. The docking protocol was validated by re-docking the co-crystallized ligand into the active site of TNF-α (PDB ID: 2AZ5), yielding an RMSD of 1,02 Å, indicating reliable accuracy. Several compounds showed strong binding affinities, with Isoarborinol (−10,47 kcal/mol), Flavacitropone A (−9,97 kcal/mol), Friedelin (−9,83 kcal/mol), and Arborinol (−9,82 kcal/mol) identified as the most promising candidates. These compounds mainly belong to triterpenoid and citropones classes. Interaction analysis revealed that they formed stable hydrophobic and π–π interactions with key residues, including Tyr119, Tyr59, Leu57, and Leu55 within the binding site. The results provide insight into the binding behavior of these compounds and support their potential as TNF-α inhibitors, which may be further evaluated through experimental studies.

Downloads

Download data is not yet available.

References

T. Pacher, M. Bacher, O. Hofer, H. Greger, Phytochemistry, 58 (2001) 129-135. https://doi.org/10.1016/S0031-9422(01)00228-5

D.Z.T.G. Hartley, Flora of China, 11 (2008) 80-83.

M. Yasir, M.K. Tripathi, P. Singh, R. Shrivastava, Nat. Prod. J., 9 (2019) 98-124. https://doi.org/10.2174/2210315508666180622121212

P.H. Ho, An Illustrated Flora of Vietnam, Tre Publishing House, Ho Chi Minh City (2003).

O. Hofer, H. Greger, Prog. Chem. Org. Nat. Prod., Springer, Vienna (2000).

A. Monks, D. Scudiero, P. Skehan, R. Shoemaker, K. Paull, D. Vistica, C. Hose, J. Langley, P. Cronise, A. Vaigro-Wolff, M. Gray-Goodrich, H. Campbell, J. Mayo, M. Boyd, J. Natl. Cancer Inst., 83 (1991) 757-766. https://doi.org/10.1093/jnci/83.11.757

J.L. Ren, P.L. Liu, H.Y. Yang, Z.L. Zhou, Z.M. Chen, S.Y. Wu, Nat. Prod. Res., 40 (2026) 854-859. https://doi.org/10.1080/14786419.2024.2426210

C. Ito, T. Matsui, K. Mamiya, T.S. Wu, M. Itoigawa, Nat. Prod. Res., 40 (2024) 466-472. https://doi.org/10.1080/14786419.2024.2412844

J.R. Bradley, J. Pathol., 214 (2008) 149-160. https://doi.org/10.1002/path.2287

D. Tracey, L. Klareskog, E.H. Sasso, J.G. Salfeld, P.P. Tak, Pharmacol. Ther., 117 (2008) 244-279. https://doi.org/10.1016/j.pharmthera.2007.10.001

G.M. Morris, R. Huey, A.J. Olson, Curr. Protoc. Bioinformatics, (2008). https://doi.org/10.1002/0471250953.bi0814s24

D.B. Kitchen, H. Decornez, J.R. Furr, J. Bajorath, Nat. Rev. Drug Discov., 3 (2004) 935-949. https://doi.org/10.1038/nrd1549

M.M. He, A.S. Smith, J.D. Oslob, W.M. Flanagan, A.C. Braisted, A. Whitty, M.T. Cancilla, J. Wang, A.A. Lugovskoy, J.C. Yoburn, A.D. Fung, G. Farrington, J.K. Eldredge, E.S. Day, L.A. Cruz, T.G. Cachero, S.K. Miller, J.E. Friedman, I.C. Choong, B.C. Cunningham, Science, 310 (2005) 1022-1025. https://doi.org/10.1126/science.1116304

P.Q.D. Nguyen, H.T. Nguyen, L.T.K. Nguyen, H.Q. Vo, A.T. Le, T.T. Do, D.V. Ho, Trop. J. Nat. Prod. Res., 4 (2020) 703-707. https://doi.org/10.26538/tjnpr/v4i10.8

J. Eberhardt, D. Santos-Martins, A.F. Tillack, S. Forli, J. Chem. Inf. Model., 61 (2021) 3891-3898. https://doi.org/10.1021/acs.jcim.1c00203

O. Trott, A.J. Olson, J. Comput. Chem., 31 (2010) 455-461. https://doi.org/10.1002/jcc.21334

H.T.T. Trang, N.X. Ha, C.L. Hong, T.T.T. Nhung, D.T.T. Giang, N.T.D. Hang, P.T. Thuy, J. Chem. Res., 48 (2024). https://doi.org/10.1177/17475198241263837

D.L. Ma, D.S.-H. Chan, C.-H. Leung, Chem. Sci., 2 (2011) 1656-1665. https://doi.org/10.1039/C1SC00152C

C.H.M. Chau, N.T.T. Giang, N.T.T. Tram, L.T.M. Chau, N.X. Ha, P.T. Thuy, J. Chem. Res., 48 (2024). https://doi.org/10.1177/17475198241305879

C.H. Le, B.T. Thuc, N.X. Ha, T.T.T. Nhung, N.V. Hue, D.M. Linh, N.T.T. Giang, P.T. Thuy, Vietnam J. Chem., 1 (2025). https://doi.org/10.1002/vjch.70047

N.X. Ha, C.H. Le, Vietnam J. Chem., 62 (2024) 387-393. https://doi.org/10.1002/vjch.202300187

N.T.T. Giang, N.X. Ha, H.T. Oanh, N.T.T. Tram, C.H.M. Chau, T.T.N. Mai, P.T. Thuy, Vietnam J. Chem., 63 (2025) 723-729. https://doi.org/10.1002/vjch.70004

M. Sandhu, H.M. Irfan, L. Arshad, A. Ullah, S.A. Shah, H. Ali, Neurotoxicology, 99 (2023) 274-281. https://doi.org/10.1016/j.neuro.2023.11.002

Published

30-06-2026

Data Availability Statement

All authors contributed to investigation, data curation, formal analysis, visualization, and writing (original draft and review & editing). Phan Thi Thuy supervised the project.

Issue

Section

Full Articles

How to Cite

In silico investigation of phytochemicals from Glycosmis parviflora for potential TNF-α inhibition. (2026). Vietnam Journal of Catalysis and Adsorption, 15(2), 27-33. https://doi.org/10.62239/jca.2026.020

Share

Funding data