Integrative Ethnopharmacological and In-Silico Strategy for Identifying Indonesian Jamu to Enhance Athletic Stamina

Authors

DOI:

https://doi.org/10.21831/jomassh.v2i2.2888

Keywords:

Athlete stamina, Drug discovery, Ethnopharmacology, Jamu, Molecular docking, Phytochemicals

Abstract

Introduction: Athletic stamina is a multifactorial trait involving metabolic, endocrine, immune, and stress-response pathways. This study aimed to integrate ethnopharmacological data with in-silico approaches to identify Indonesian natural products with potential stamina-enhancing effects. Methods: Health-related jamu formulations from the KNApSAcK database were analyzed using pharmacognosy scoring and correspondence analysis to prioritize plants. Compounds were filtered by drug-likeness and ADMET, followed by target prediction, molecular docking, and integration into a Jamu Formulation Score (JFS). Results: A total of 41 priority plants and 31 candidate compounds were identified, with several showing strong binding affinities toward key targets such as oestrone with ESR1 and withanolide with NFKB1. The results demonstrated convergence between ethnopharmacological relevance and molecular plausibility in supporting stamina-related activity. Conclusions: This integrative approach effectively prioritizes evidence-based natural product candidates for stamina enhancement. The findings provide a rational foundation for future experimental validation and modern jamu formulation development.

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References

MoTrPAC Study Group, Primary authors, Lead Analysts, Amar D, Gay NR, Jean-Beltran PM, et al. Temporal dynamics of the multi-omic response to endurance exercise training. Nature. 2024 May;629(8010):174–83. https://doi.org/10.1038/s41586-023-06877-w

2. Fathir A, Haikal Moch, Wahyudi D. Ethnobotanical study of medicinal plants used for maintaining stamina in Madura ethnic, East Java, Indonesia. Biodiversitas. 2021 Jan;22(1). https://doi.org/10.13057/biodiv/d220147

3. Basheeruddin M, Qausain S, Basheeruddin M, Qausain S. Hypoxia-Inducible Factor 1-Alpha (HIF-1α): An Essential Regulator in Cellular Metabolic Control. Cureus. 2024 Jul;16. https://doi.org/10.7759/cureus.63852

4. Gonzalez-Gil AM, Elizondo-Montemayor L. The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review. Nutrients. 2020 Jun 26;12(6):1899. https://doi.org/10.3390/nu12061899

5. Yin L, Lu L, Lin X, Wang X. Crucial role of androgen receptor in resistance and endurance trainings-induced muscle hypertrophy through IGF-1/IGF-1R- PI3K/Akt- mTOR pathway. Nutr Metab (Lond). 2020 Dec;17(1):26. https://doi.org/10.1186/s12986-020-00446-y

6. Gharahdaghi N, Phillips BE, Szewczyk NJ, Smith K, Wilkinson DJ, Atherton PJ. Links Between Testosterone, Oestrogen, and the Growth Hormone/Insulin-Like Growth Factor Axis and Resistance Exercise Muscle Adaptations. Front Physiol. 2021 Jan;11:621226. https://doi.org/10.3389/fphys.2020.621226

7. Sopariwala D, Nguyen H, Narkar V. Estrogen-related Receptor Signaling in Skeletal Muscle Fitness. Int J Sports Med. 2023 Jul;44(09):609–17. https://doi.org/10.1055/a-2035-8192

8. Yoh K, Ikeda K, Horie K, Inoue S. Roles of Estrogen, Estrogen Receptors, and Estrogen-Related Receptors in Skeletal Muscle: Regulation of Mitochondrial Function. IJMS. 2023 Jan;24(3):1853. https://doi.org/10.3390/ijms24031853

9. Hargreaves M, Spriet LL. Skeletal muscle energy metabolism during exercise. Nat Metab. 2020 Aug 3;2(9):817–28. https://doi.org/10.1038/s42255-020-0251-4

10. Yusmaniar Y, Hasbi F, Rani R. A systematic review of Indonesian traditional Jamu medicine. Trop J Pharm Res. 2024 Sep;23(6):1021–9. https://doi.org/10.4314/tjpr.v23i6.13

11. Surya R, Romulo A, Nurkolis F, Kumalawati DA. Compositions and Health Benefits of Different Types of Jamu, Traditional Medicinal Drinks Popular in Indonesia. In: Mérillon JM, Rivière C, Lefèvre G, editors. Natural Products in Beverages [Internet]. Cham: Springer International Publishing; 2025 [cited 2026 Mar 30]. p. 307–39. (Reference Series in Phytochemistry). Available from: https://link.springer.com/10.1007/978-3-031-38663-3_123 https://doi.org/10.1007/978-3-031-38663-3_123

12. Syahrir NHA, Sumarheni S, Amir SBH, Kuswanto H. Target prediction of compounds on jamu formula using nearest profile method. JMSK. 2020 Dec;17(2):293–303. https://doi.org/10.20956/jmsk.v17i2.11616

13. Wijaya SH, Afendi FM, Batubara I, Huang M, Ono N, Kanaya S, et al. Identification of Targeted Proteins by Jamu Formulas for Different Efficacies Using Machine Learning Approach. Life. 2021 Aug;11(8):866. https://doi.org/10.3390/life11080866

14. Pirintsos S, Panagiotopoulos A, Bariotakis M, Daskalakis V, Lionis C, Sourvinos G, et al. From Traditional Ethnopharmacology to Modern Natural Drug Discovery: A Methodology Discussion and Specific Examples. Molecules. 2022 Jun;27(13):4060. https://doi.org/10.3390/molecules27134060

15. Mayr F, Möller G, Garscha U, Fischer J, Rodríguez Castaño P, Inderbinen SG, et al. Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction. IJMS. 2020 Sep;21(19):7102. https://doi.org/10.3390/ijms21197102

16. Afendi FM, Okada T, Yamazaki M, Hirai-Morita A, Nakamura Y, Nakamura K, et al. KNApSAcK Family Databases: Integrated Metabolite–Plant Species Databases for Multifaceted Plant Research. Plant Cell Physiol. 2012 Feb;53(2):e1–e1. https://doi.org/10.1093/pcp/pcr165 PubMed PMID: 22123792.

17. Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, et al. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Curr Protoc Bioinformatics. 2016 Jun;54:1.30.1-1.30.33. https://doi.org/10.1002/cpbi.5 PubMed PMID: 27322403.

18. Szklarczyk D, Kirsch R, Koutrouli M, Nastou K, Mehryary F, Hachilif R, et al. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023 Jan;51(D1):D638–46. https://doi.org/10.1093/nar/gkac1000 PubMed PMID: 36370105; PubMed Central PMCID: PMC9825434.

19. Abramson J, Adler J, Dunger J, Evans R, Green T, Pritzel A, et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 2024 Jun;630(8016):493–500. https://doi.org/10.1038/s41586-024-07487-w

20. Auerbach M. How we diagnose and treat iron deficiency anemia. American Journal of Hematology. 2016;91(1):31–8. https://doi.org/10.1002/ajh.24201

21. Meng EC, Goddard TD, Pettersen EF, Couch GS, Pearson ZJ, Morris JH, et al. UCSF ChimeraX: Tools for structure building and analysis. Protein Science. 2023;32(11):e4792. https://doi.org/10.1002/pro.4792

22. Liu Y, Yang X, Gan J, Chen S, Xiao ZX, Cao Y. CB-Dock2: improved protein–ligand blind docking by integrating cavity detection, docking and homologous template fitting. Nucleic Acids Res. 2022 Jul;50(W1):W159–64. https://doi.org/10.1093/nar/gkac394

23. Wen J, Syed B, Leapart J, Shehabat M, Ansari U, Akhtar M, et al. Selective Androgen Receptor Modulators (SARMs) Effects on Physical Performance: A Systematic Review of Randomized Control Trials. Clinical Endocrinology. 2025;102(1):3–27. https://doi.org/10.1111/cen.15135

24. Hevener AL, Ribas V, Moore TM, Zhou Z. The Impact of Skeletal Muscle ERα on Mitochondrial Function and Metabolic Health. Endocrinology. 2020 Feb;161(2):bqz017. https://doi.org/10.1210/endocr/bqz017

25. Nisr RB, Shah DS, Ganley IG, Hundal HS. Proinflammatory NFkB signalling promotes mitochondrial dysfunction in skeletal muscle in response to cellular fuel overloading. Cell Mol Life Sci. 2019 Dec;76(24):4887–904. https://doi.org/10.1007/s00018-019-03148-8

26. Inaku C, Yusuf M, Praktisi S. Formulasi dan Uji Efek Lilin Aromaterapi Minyak Atsiri Daun Pandan Wangi (Pandanus amaryllifolius Roxb.) terhadap Immobility time Mencit (Mus musculus) Jantan yang Dibuat Stres. JOPS. 2023 Jun;6(2):132–42. https://doi.org/10.36341/jops.v6i2.3363

27. Jiao M, Liu X, Ren Y, Wang Y, Cheng L, Liang Y, et al. Comparison of Herbal Medicines Used for Women’s Menstruation Diseases in Different Areas of the World. Front Pharmacol. 2022 Feb;12:751207. https://doi.org/10.3389/fphar.2021.751207

28. Khadim S, Malik K, Kazmi A, Sultana T, Ali A, Mehmood K, et al. Folklore use of medicinal plants for the treatment of gynecological diseases in Pakistan-a review. Heliyon. 2024 Aug;10(15):e34869. https://doi.org/10.1016/j.heliyon.2024.e34869

29. Utaminingrum W, Nofrianti N, Hartanti D. Diversity and use of medicinal plants for traditional women’s health care in Northern Banyumas, Indonesia. Biodiversitas. 2022 Apr;23(4). https://doi.org/10.13057/biodiv/d230431

30. Akbaribazm M, Goodarzi N, Rahimi M. Female infertility and herbal medicine: An overview of the new findings. Food Science & Nutrition. 2021 Oct;9(10):5869–82. https://doi.org/10.1002/fsn3.2523

31. Ralte L, Sailo H, Singh YT. Ethnobotanical study of medicinal plants used by the indigenous community of the western region of Mizoram, India. J Ethnobiology Ethnomedicine. 2024 Jan;20(1):2. https://doi.org/10.1186/s13002-023-00642-z

32. Alemu M, Asfaw Z, Lulekal E, Warkineh B, Debella A, Sisay B, et al. Ethnobotanical study of traditional medicinal plants used by the local people in Habru District, North Wollo Zone, Ethiopia. J Ethnobiology Ethnomedicine. 2024 Jan;20(1):4. https://doi.org/10.1186/s13002-023-00644-x

33. Lulesa F, Alemu S, Kassa Z, Awoke A. Ethnobotanical investigation of medicinal plants utilized by indigenous communities in the Fofa and Toaba sub-districts of the Yem Zone, Central Ethiopian Region. J Ethnobiology Ethnomedicine. 2025 Mar;21(1):14. https://doi.org/10.1186/s13002-025-00768-2

34. Reddy KS, Rao DrK, Saikrishna P, Mahendra K, Varma PM. A review on the medicinal plant Zingiber zerumbet phytochemical composition, traditional uses, and potential health benefits. J Med Plants Stud. 2024 Jul;12(4):139–46. https://doi.org/10.22271/plants.2024.v12.i4b.1701

35. Chan JSW, Lim XY, Japri N, Ahmad IF, Tan TYC. Zingiber zerumbet: A Scoping Review of its Medicinal Properties. Planta Med. 2024 Mar;90(03):204–18. https://doi.org/10.1055/a-2219-9801

36. Yoh K, Ikeda K, Nagai S, Horie K, Takeda S, Inoue S. Constitutive activation of estrogen receptor α signaling in muscle prolongs exercise endurance in mice. Biochemical and Biophysical Research Communications. 2022 Nov;628:11–7. https://doi.org/10.1016/j.bbrc.2022.08.064

37. Oosthuyse T, Strauss JA, Hackney AC. Understanding the female athlete: molecular mechanisms underpinning menstrual phase differences in exercise metabolism. Eur J Appl Physiol. 2022 Nov. https://doi.org/10.1007/s00421-022-05090-3

38. Ma P, Li J, Huang Q, Wei S, Ge H, Wang Z. Exploring the mechanism of anti-fatigue of resveratrol based on network pharmacology and molecular docking, and in vitro studies. Sci Rep. 2023 Feb;13(1):2894. https://doi.org/10.1038/s41598-023-30141-w

39. Villegas-Aguilar MDC, Fernández-Ochoa Á, Cádiz-Gurrea MDLL, Pimentel-Moral S, Lozano-Sánchez J, Arráez-Román D, et al. Pleiotropic Biological Effects of Dietary Phenolic Compounds and their Metabolites on Energy Metabolism, Inflammation and Aging. Molecules. 2020 Jan;25(3):596. https://doi.org/10.3390/molecules25030596

40. Eberhardt J, Santos-Martins D, Tillack AF, Forli S. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings. J Chem Inf Model. 2021 Aug 23;61(8):3891–8. https://doi.org/10.1021/acs.jcim.1c00203

41. Barsky ST, Monks DA. The role of androgens and global and tissue-specific androgen receptor expression on body composition, exercise adaptation, and performance. Biol Sex Differ. 2025 Apr;16(1):28. https://doi.org/10.1186/s13293-025-00707-6

42. Kurhaluk N. Tricarboxylic Acid Cycle Intermediates and Individual Ageing. Biomolecules. 2024 Feb;14(3):260. https://doi.org/10.3390/biom14030260

43. Reitzner SM, Emanuelsson EB, Arif M, Kaczkowski B, Kwon ATj, Mardinoglu A, et al. Molecular profiling of high-level athlete skeletal muscle after acute endurance or resistance exercise – A systems biology approach. Molecular Metabolism. 2024 Jan;79:101857. https://doi.org/10.1016/j.molmet.2023.101857

44. İpekoğlu G, Apaydın N, Çetin T, Eren AN, Topçu P, Yücelsoy B, et al. Examining the relationship between genetic polymorphisms (BDKRB2, GNB3, HIF1A, MCT1, NOS3) and endurance athlete status. Eur J Appl Physiol. 2024 Jul;124(7):1943–58. https://doi.org/10.1007/s00421-024-05498-z

45. Alack K, Weiss A, Krüger K, Höret M, Schermuly R, Frech T, et al. Profiling of human lymphocytes reveals a specific network of protein kinases modulated by endurance training status. Sci Rep. 2020 Jan;10(1):888. https://doi.org/10.1038/s41598-020-57676-6

46. Bodun DS, Omoboyowa DA, Olofinlade VF, Ayodeji AO, Mauri A, Ogbodo UC, et al. In-silico-based lead optimization of hit compounds targeting mitotic kinesin Eg5 for cancer management. In Silico Pharmacol. 2025 Jan;13(1):9. https://doi.org/10.1007/s40203-024-00300-6

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Published

2026-10-01

How to Cite

Tambunan, M. V., Sianturi, T. K., & Setyawan, E. I. (2026). Integrative Ethnopharmacological and In-Silico Strategy for Identifying Indonesian Jamu to Enhance Athletic Stamina. Journal of Medical Science and Sports Health, 2(2), 94–107. https://doi.org/10.21831/jomassh.v2i2.2888

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