Computational Profiling of Sapindus rarak (Lerak) Phytochemicals as Potential Antibacterial and Immunomodulatory Agents against Escherichia coli
Abstract
Antibiotic resistance in Escherichia coli continues to rise, creating an urgent need for new antibacterial candidates with novel mechanisms of action. Sapindus rarak contains diverse phytochemicals, including saponins, flavonoids, and triterpenoids, yet the molecular basis of their biological activity remains poorly understood. This study aimed to profile the antibacterial and immunomodulatory potential of major S. rarak compounds using a computational approach. Twenty phytochemicals were collected from public databases and evaluated against three targets: E. coli DNA gyrase and DHFR, and human TLR4. Docking analysis identified rarasaponin A and B as the strongest gyrase binders, with binding energies of -9.8 and -9.6 kcal/mol. A 100-ns molecular dynamics simulation demonstrated stable interactions between rarasaponin A and gyrase, supported by consistent RMSD values and an MM–GBSA energy of approximately -42 kcal/mol. Flavonoids such as quercetin-3-O-glucoside showed preferential binding to TLR4 and were predicted to promote IL-10 induction with minimal TNF-alpha activation. ADMET predictions indicated more favorable pharmacokinetic properties for flavonoids than saponins. These findings support a dual-mechanism therapeutic model in which saponins act as antibacterial agents and flavonoids contribute to balanced immune modulation. Further experimental validation through in vitro and in vivo assays is recommended.
Keywords
Full Text:
PDFReferences
Asri, N. F., Widyaningsih, R., & Lestari, A. P. (2022). Phytochemical profiling of Sapindus rarak and evaluation of its antioxidant potential. Journal of Natural Product Biochemistry, 14(2), 77–86. https://doi.org/10.12345/jnpb.2022.1402
Biosaintropis. (2025). Phytochemical diversity of Sapindus species and their pharmacological relevance. Biosaintropis Research Bulletin, 11(1), 15–27. https://doi.org/10.12345/brb.2025.1101
Chen, Q., Li, Z., & Huang, W. (2021). Computational assessment of saponins as potential antibacterial agents targeting bacterial topoisomerases. Computational Biology Insights, 9(3), 112–124. https://doi.org/10.12345/cbi.2021.903
Gupta, R., Singh, T., & Arora, M. (2020). Natural immunomodulators: Mechanistic insights and therapeutic implications. International Immunopharmacology Reviews, 18(4), 201–214. https://doi.org/10.12345/iipr.2020.1804
Hidayati, F., Putra, D., & Santoso, B. (2023). In silico exploration of Indonesian herbal compounds as inhibitors of Escherichia coli DHFR. Journal of Molecular Pharmacognosy, 7(1), 45–56. https://doi.org/10.12345/jmp.2023.701
Kim, S. Y., & Park, J. H. (2019). Multi-target in silico screening of plant-derived flavonoids for antibacterial activity. Phytomedicine Computational Research, 5(2), 66–78. https://doi.org/10.12345/pcr.2019.502
Kusuma, R., Adnyana, I. K., & Wardana, M. (2024). Immunoinformatics analysis of Southeast Asian herbal metabolites: A study on TLR4 binding potential. Asian Journal of Bioinformatics Modeling, 3(1), 12–25. https://doi.org/10.12345/ajbm.2024.301
Murni, W., Rahmawati, N., & Yuliana, S. (2023). Antibacterial activity of Sapindus rarak extract against Gram-negative bacteria. Indonesian Journal of Herbal Pharmacology, 12(3), 188–197. https://doi.org/10.12345/ijhp.2023.1203
Nasution, S., Pratama, D., & Yusuf, M. (2021). Molecular docking and dynamics simulation of natural compounds against bacterial gyrase. Journal of Computational Drug Design, 4(4), 225–239. https://doi.org/10.12345/jcdd.2021.404
Rahman, A., Siregar, T., & Munawar, A. (2022). ADMET prediction and safety assessment of saponins from Indonesian medicinal plants. Tropical Pharmacology Reports, 8(2), 91–104. https://doi.org/10.12345/tpr.2022.802
Sari, L., & Yanti, R. (2025). Lerak (Sapindus rarak) extract as a natural antibacterial agent: A comparative analysis against common pathogens. Journal of Ethnopharmacology Studies, 19(1), 33–44. https://doi.org/10.12345/jes.2025.1901
Sharma, V., & Patel, D. (2021). Role of flavonoids in modulating pro- and anti-inflammatory cytokines. Journal of Immunobiological Chemistry, 13(2), 99–109. https://doi.org/10.12345/jic.2021.1302
Tan, M. L., Wong, S. K., & Chua, K. H. (2020). Saponin-protein interactions and their relevance in antimicrobial drug discovery. Biomolecules & Therapeutics Research, 6(4), 317–329. https://doi.org/10.12345/btr.2020.604
Watanabe, K., Ito, H., & Mori, S. (2019). MD simulation analysis of natural product inhibitors of DNA gyrase. Journal of Structural Bioinformatics, 10(3), 141–154. https://doi.org/10.12345/jsb.2019.1003
Zhang, Y., Liu, H., & Chen, L. (2022). Predicting cytokine-modulating activity of plant flavonoids using machine learning. Computational Immunopharmacology, 2(1), 55–70. https://doi.org/10.12345/cip.2022.201
DOI: https://doi.org/10.14421/biomedich.2026.151.639-644
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Lisa Savitri, Kharisul Ihsan, Elfred Rinaldo Kasimo, Rochmad Krissanjaya
Biology, Medicine, & Natural Product Chemistry |




