Studi In Silico Profil ADME dan Drug-Likeness Senyawa Bioaktif Pegagan (Centella asiatica L.) terhadap Potensi Terapi Alzheimer

Authors

  • Muhamad Inzaghi Divi Wijaya Prodi Farmasi, Fakultas Farmasi dan Sains, Universitas Islam Bandung, Indonesia
  • Taufik Muhammad Fakih Prodi Farmasi, Fakultas Farmasi dan Sains, Universitas Islam Bandung, Indonesia
  • Ibnu Dharsono Faizal Prodi Farmasi, Fakultas Farmasi dan Sains, Universitas Islam Bandung, Indonesia

DOI:

https://doi.org/10.29313/bcsp.v6i2.25682

Keywords:

Alzheimer, Centella asiatica, Network pharmacology

Abstract

Abstract. Alzheimer’s disease is a complex neurodegenerative disorder involving several pathological mechanisms, including β-amyloid accumulation, tau hyperphosphorylation, oxidative stress, neuroinflammation, neuronal apoptosis, and impaired signal transduction. Pegagan (Centella asiatica L.) contains bioactive compounds that are considered to have neuroprotective potential. This study aimed to analyze the potential of active compounds from Centella asiatica against Alzheimer’s disease using network pharmacology and molecular docking approaches. Compound data were collected from KNApSAcK, IMPPAT, and NPASS databases, followed by analysis using PubChem, SwissADME, SwissTargetPrediction, GeneCards, STRING, Cytoscape, CytoHubba, and molecular docking. A total of 160 bioactive compounds were obtained, and 31 compounds met the criteria for drug-likeness, bioavailability, and blood-brain barrier permeability. Target prediction of selected compounds identified 528 proteins, while Alzheimer’s disease-related targets from GeneCards consisted of 15,256 proteins, resulting in 431 overlapping targets. Further analysis identified PIK3CA, PIK3CB, PIK3CD, JAK2, and PTPN11 as the main protein targets. Molecular docking results showed that Mol29, namely Phaseollinisoflavan, had the best affinity toward PTPN11 with a binding affinity value of -9,13 kcal/mol. These results suggest that Centella asiatica has potential as an Alzheimer’s disease therapy candidate through multitarget and multipathway mechanisms based on in silico analysis.

Abstrak. Penyakit Alzheimer merupakan gangguan neurodegeneratif kompleks yang melibatkan berbagai mekanisme patologis, seperti akumulasi β-amiloid, hiperfosforilasi tau, stres oksidatif, neuroinflamasi, apoptosis neuron, dan gangguan transduksi sinyal. Pegagan (Centella asiatica L.) diketahui memiliki senyawa bioaktif yang berpotensi memberikan aktivitas neuroprotektif. Penelitian ini bertujuan untuk menganalisis potensi senyawa aktif Centella asiatica terhadap penyakit Alzheimer menggunakan pendekatan network pharmacology dan molecular docking. Data senyawa diperoleh dari basis data KNApSAcK, IMPPAT, dan NPASS, kemudian dianalisis menggunakan PubChem, SwissADME, SwissTargetPrediction, GeneCards, STRING, Cytoscape, CytoHubba, dan molecular docking. Hasil pengumpulan data memperoleh 160 senyawa bioaktif, dengan 31 senyawa yang memenuhi kriteria drug-likeness, bioavailabilitas, dan kemampuan menembus blood-brain barrier. Prediksi target senyawa menghasilkan 528 protein, sedangkan target Alzheimer dari GeneCards memperoleh 15.256 protein, dengan 431 protein irisan. Analisis lebih lanjut mengidentifikasi PIK3CA, PIK3CB, PIK3CD, JAK2, dan PTPN11 sebagai target utama. Hasil molecular docking menunjukkan bahwa Mol29, yaitu Phaseollinisoflavan, memiliki afinitas terbaik terhadap PTPN11 dengan nilai binding affinity -9,13 kcal/mol. Hasil penelitian menunjukkan bahwa Centella asiatica berpotensi sebagai kandidat terapi Alzheimer melalui mekanisme multitarget dan multipathway secara in silico.

References

Anggraeni, A. D., Putri, N. Y. F., Amalia, S. D., & Muchlisin, M. A. (2023). Bioavailability and molecular docking prediction of secondary metabolite of Curcuma zedoaria as potential Mpro SARS-CoV-2 inhibitor. Medical Sains: Jurnal Ilmiah Kefarmasian, 8(4), 1345–1354.
Ansari, M. A., Albalawi, A. M., & Rahman, S. (2025). Neuroprotective, antioxidant, and anti-inflammatory roles of Centella asiatica active triterpenes in neurodegenerative diseases. Phytomedicine, 123, 155120.
Casares, D., & Escribá, P. V. (2019). The role of lipids in the binding and insertion of bioactive molecules into membranes. International Journal of Molecular Sciences, 20(23), 5928.
Congdon, E. E., & Sigurdsson, E. M. (2018). Tau-targeted therapies for Alzheimer’s disease. Nature Reviews Neurology, 14(7), 399–415. https://doi.org/10.1038/s41582-018-0013-z
Deviana, K. Z., & Diniatik, D. (2021). Analisis Penambatan Molekuler dan Prediksi Toksisitas dan ADME Penghambat Enzim Dipeptidil Peptidase IV dari Senyawa Aktif Momordica charantia L. sebagai Antidiabetes. PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia), 18(2), 361–370. https://doi.org/10.30595/pharmacy.v18i2.11306
Fernenda, L., Ramadhani, A. P., & Syukri, Y. (2023). Aktivitas Pegagan (Centella Asiatica) Pada Dermatologi. Jurnal Sains Farmasi & Klinis. https://doi.org/10.25077/jsfk.9.3.237-244.2022
Gray, N. E., Hack, W., Brandes, M. S., Zweig, J. A., Yang, L., Marney, L., Choi, J., Magaña, A. A., Cerruti, N., McFerrin, J., Koike, S., Nguyen, T., Raber, J., Quinn, J. F., Maier, C. S., & Soumyanath, A. (2024). Amelioration of Age-Related Cognitive Decline and Anxiety in Mice by Centella Asiatica Extract Varies by Sex, Dose and Mode of Administration. Frontiers in Aging. https://doi.org/10.3389/fragi.2024.1357922
Komura, H., Watanabe, R., & Mizuguchi, K. (2023). The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery. Pharmaceutics, 15(11), 2619. https://doi.org/10.3390/pharmaceutics15112619
Liu, X., Wang, Y., & Zhang, L. (2022). In silico prediction of ADMET properties and biological activity of bioactive compounds from herbal medicines. Journal of Molecular Graphics and Modelling, 114, 108180.
Mahanthesh, M. T., Jalalpure, S. S., & Akki, K. S. (2020). In silico ADME and toxicity prediction of bioactive compounds of Centella asiatica (L.) Urb. Journal of Applied Pharmaceutical Science, 10(11), 78–86. https://doi.org/10.7324/JAPS.2020.101111
Mohanraj, K., Karthikeyan, B. S., Vivek-Ananth, R. P., Chand, R. P. B., Aparna, S. R., Mangalapandi, P., & Samal, A. (2018). IMPPAT: A curated database of Indian medicinal plants, phytochemistry and therapeutics. Scientific Reports, 8, 4329.
Monroy, O., Fomina, L., Sánchez-Vergara, M.-E., Vázquez-Hernández, G. A., Alexandrova, L., Gaviño, R., Rumsh, L., Zolotukhin, M. G., & Salcedo, R. (2021). Synthesis, characterization and evaluation of optical band gap of new semiconductor polymers with N-aryl- 2,5-diphenyl-pyrrole units. Journal of Molecular Structure, 1245, 131012. https://doi.org/10.1016/j.molstruc.2021.131012
Morak-Młodawska, B., Jeleń, M., Martula, E., & Korlacki, R. (2023). Study of Lipophilicity and ADME Properties of 1,9-Diazaphenothiazines with Anticancer Action. International Journal of Molecular Sciences, 24(8), 6970. https://doi.org/10.3390/ijms24086970
Retnowati, A., Rugayah, Rahajoe, J. S., & Arifiani, D. (2019). Status keanekaragaman hayati Indonesia: Kekayaan flora dan jamur Indonesia. LIPI Press.
Rosspertiwi, A., Levita, J., & Muchtaridi, M. (2024). In silico toxicity prediction and ADME profiling of bioactive compounds from Centella asiatica L. Jurnal Farmasi Galenika (Galenika Journal of Pharmacy), 10(1), 45–58. https://doi.org/10.22487/j24428744.2024.v10.i1.16850
Shakeel Ur Rahman, S. (2023). Blood-brain barrier permeability and P-glycoprotein-mediated transport in central nervous system drug discovery. Pharmaceuticals, 16(6), 837.
Timmermans, M., van den Berg, J. H., & de Jong, W. H. (2019). The influence of physicochemical parameters of chemical compounds on absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. Toxicology in Vitro, 58, 112–124. https://doi.org/10.1016/j.tiv.2019.03.015
Zhai, Y., Liu, L., Zhang, F., Chen, X., Wang, H., Zhou, J., Chai, K., Liu, J., Lei, H., Lu, P., Guo, M., Guo, J., & Wu, J. (2025). Network pharmacology: a crucial approach in traditional Chinese medicine research. Chinese Medicine (United Kingdom), 20(1), 8-. https://doi.org/10.1186/S13020-024-01056-Z/TABLES/1

Published

2026-08-03