DOCKING SIMULATION OF 1,2,3-TRIAZOLO-INDOLE-2-CARBOXYLATE DERIVATIVES AS POTENTIAL HER2 INHIBITORS FOR BREAST CANCER THERAPY

Authors

  • Alia Rahman Universitas Negeri Padang
  • Fajriah Azra Universitas Negeri Padang

DOI:

https://doi.org/10.36526/jc.v8i2.7201

Keywords:

Molecular docking, Breast Anticancer,1,2,3-Triazolo-Indole-2-Carboxylate, ADMET, HER2

Abstract

HER2 is a tyrosine kinase receptor involved in cell proliferation, differentiation, and survival. Its overexpression promotes cancer progression and therapeutic resistance, indicating the need for new HER2 inhibitors. In this study, twelve 1,2,3-triazolo-indole-2-carboxylate derivatives were evaluated as potential HER2 inhibitors using in silico approaches. Drug-likeness was analyzed using SwissADME, ADMET properties were predicted with pkCSM, and molecular docking was performed using MOE. Docking analysis indicated that several compounds exhibited strong binding affinity toward HER2, with compounds 6b, 6c, 6d, 6e, and 9a identified as the most promising candidates. Among them, compound 6d showed the most balanced profile, combining strong binding affinity, favorable interactions comparable to lapatinib, moderate aqueous solubility, high Caco-2 permeability, non-substrate behavior toward P-gp, and non-mutagenic properties. ADMET evaluation revealed that all compounds complied with Lipinski’s rule and exhibited high total clearance. However, limitations were observed in distribution parameters (VDss, Fu, and BBB), potential hepatotoxicity, and inhibition of several CYP enzymes, except CYP2D6. Overall, compound 6d is proposed as a promising HER2 inhibitor candidate, although further in vitro and in vivo validation is required to improve safety and pharmacokinetic profiles.

Author Biographies

Alia Rahman, Universitas Negeri Padang

Jurusan Kimia

Fajriah Azra, Universitas Negeri Padang

Jurusan Kimia

References

Aini, N. S., Kharisma, V. D., Widyananda, M. H., Murtadlo, A. A. A., Probojati, R. T., Turista, D. D. R., Tamam, M. B., Jakhmola, V., Yuniarti, E., Aziz, S. A., Ghifari, M. R., Albari, M. T., Mandeli, R. S., Ghifari, M. A., Purnamasari, D., Oktavia, B., Lubis, A. P., Azra, F., Fitri, F., … Zainul, R. (2022). In Silico Screening of Bioactive Compounds from Garcinia mangostana L. Against SARS-CoV-2 via Tetra Inhibitors. Pharmacognosy Journal, 14(5), 575–579. https://doi.org/10.5530/pj.2022.14.138

Akbar, N. H., Suarantika, F., Fakih, T. M., Haniffadli, A., Muslimawati, K., & Putra, A. M. P. (2025). Screening, docking, and molecular dynamics analysis of Mitragyna speciosa (Korth.) compounds for targeting HER2 in breast cancer. Current Research in Structural Biology, 10, 100171. https://doi.org/10.1016/j.crstbi.2025.100171

Amen, L. N., Betow, J. Y., Tjegbe, M. J. M., Nadjinangar, G., Wansi, J. D., & Ntie-Kang, F. (2025). An investigation of the drug discovery potential of phytochemicals from Monodora species through in silico ADMET profiling. Scientific African, 30, e03060. https://doi.org/10.1016/j.sciaf.2025.e03060

Anantoju, K. K., Bireddy, S. R., Eppakayala, L., Pittala, B., Maringanti, T. C., & Eppakayala, J. (2024). An efficient synthesis and anticancer evaluation of 1,2,3-triazolo-indole-2-carboxylate derivatives. Results in Chemistry, 7, 101536. https://doi.org/10.1016/j.rechem.2024.101536

Bayoudh, A., Tarhouni, N., Ben Mansour, R., Mekrazi, S., Sadraoui, R., Kriaa, K., Ahmed, Z., Soussi, A., Kallel, I., & Hadrich, B. (2025). Integrated Network Pharmacology and Molecular Dynamics Reveal Multi-Target Anticancer Mechanisms of Myrtus communis Essential Oils. Pharmaceuticals, 18(10), 1542. https://doi.org/10.3390/ph18101542

Bultum, L. E., Tolossa, G. B., Kim, G., Kwon, O., & Lee, D. (2022). In silico activity and ADMET profiling of phytochemicals from Ethiopian indigenous aloes using pharmacophore models. Scientific Reports, 12(1), 22221. https://doi.org/10.1038/s41598-022-26446-x

El Rhabori, S., Alaqarbeh, M., El Aissouq, A., Bouachrine, M., Chtita, S., & Khalil, F. (2024). Design, 3D-QSAR, molecular docking, ADMET, molecular dynamics and MM-PBSA simulations for new anti-breast cancer agents. Chemical Physics Impact, 8, 100455. https://doi.org/10.1016/j.chphi.2023.100455

Fisusi, F. A., & Akala, E. O. (2019). Drug Combinations in Breast Cancer Therapy. Pharmaceutical Nanotechnology, 7(1), 3–23. https://doi.org/10.2174/2211738507666190122111224

Flores-Holguín, N., Frau, J., & Glossman-Mitnik, D. (2021). In Silico Pharmacokinetics, ADMET Study and Conceptual DFT Analysis of Two Plant Cyclopeptides Isolated From Rosaceae as a Computational Peptidology Approach. Frontiers in Chemistry, 9, 708364. https://doi.org/10.3389/fchem.2021.708364

Gautama, W. (2022). Breast Cancer in Indonesia in 2022: 30 Years of Marching in Place. Indonesian Journal of Cancer, 16(1), 1. https://doi.org/10.33371/ijoc.v16i1.920

Jibrin, A., Uzairu, A., Shallangwa, G. A., Abechi, S. E., Umar, A. B., Mishra, V. K., & Srivastava, R. (2025). Molecular design, ADMET evaluation, and molecular dynamic simulation of some potent sulfonamide-based compounds as anti-tuberculosis agents.

Kamel, M. G., Sroor, F. M., Mahmoud, K., Shafey, H. I., Hassaneen, H. M., & Vendier, L. (2025). Utility of 6-aza-2-thiothymine in the synthesis of novel [1,2,4]triazolo[4,3- b ][1,2,4]triazin-7-one derivatives: Synthesis, structure elucidation, molecular docking and in vitro anti-lung cancer activity. RSC Advances, 15(8), 6015–6031. https://doi.org/10.1039/D4RA08958H

Kavarthapu, R., Anbazhagan, R., & Dufau, M. L. (2021). Crosstalk between PRLR and EGFR/HER2 Signaling Pathways in Breast Cancer. Cancers, 13(18), 4685. https://doi.org/10.3390/cancers13184685

Khedraoui, M., Guerguer, F. Z., Karim, E. M., Errougui, A., & Chtita, S. (2025). In silico exploration of Aloe vera leaf compounds as dual AChE and BChE inhibitors for Alzheimer’s disease therapy. Current Pharmaceutical Analysis, 21(4), 238–248. https://doi.org/10.1016/j.cpan.2025.03.005

Klimoszek, D., Jeleń, M., Dołowy, M., & Morak-Młodawska, B. (2024). Study of the Lipophilicity and ADMET Parameters of New Anticancer Diquinothiazines with Pharmacophore Substituents. Pharmaceuticals, 17(6), 725. https://doi.org/10.3390/ph17060725

Li, X., & Huang, T. (2025). Advances in the intrinsic signaling pathway interactions and clinical translation of HR+/HER2+ breast cancer. Breast Cancer. https://doi.org/10.1007/s12282-025-01779-3

Lina, L., Jingru, S., Wanting, Z., Yuanyuan, Z., & Changyuan, W. (2025). Purification and molecular docking of α-glucosidase inhibitory peptides from mung bean protein hydrolysates. LWT, 222, 117545. https://doi.org/10.1016/j.lwt.2025.117545

Liu, R., Tawa, G., & Wallqvist, A. (2012). Locally Weighted Learning Methods for Predicting Dose-Dependent Toxicity with Application to the Human Maximum Recommended Daily Dose. Chemical Research in Toxicology, 25(10), 2216–2226. https://doi.org/10.1021/tx300279f

Mariam Raju, R., Joy A, J., Nulgumnalli Manjunathaiah, R., Justin, A., & Prashantha Kumar, B. R. (2024). EGFR as therapeutic target to develop new generation tyrosine kinase inhibitors against breast cancer: A critical review. Results in Chemistry, 7, 101490. https://doi.org/10.1016/j.rechem.2024.101490

Masudur Rahman Munna, Md., Touki Tahamid Tusar, Md., Sajnin Shanta, S., Hossain Ahmed, Md., & Sarafat Ali, Md. (2024). Unveiling promising phytocompounds from Moringa oleifera as dual inhibitors of EGFR(T790M/C797S) and VEGFR-2 in non-small cell lung cancer through in silico screening, ADMET, dynamics simulation, and DFT analysis. Journal of Genetic Engineering and Biotechnology, 22(3), 100406. https://doi.org/10.1016/j.jgeb.2024.100406

Misran, E., Husin, F., Sa’at, A. N., Harun, A. Q., Zubairi, S. I., & Ya’akob, H. (2025). In silico evaluation of guarana’s bioactive compounds for diabetes, inflammation, and oxidative stress: Insights from molecular docking and ADMET profiling. Results in Chemistry, 16, 102394. https://doi.org/10.1016/j.rechem.2025.102394

Moy, B., & Goss, P. E. (2007). Lapatinib-Associated Toxicity and Practical Management Recommendations. The Oncologist, 12(7), 756–765. https://doi.org/10.1634/theoncologist.12-7-756

Muharrami, L. K., Santoso, M., & Fatmawati, S. (2024). Chemical profiles, in silico pharmacokinetic and toxicity prediction of bioactive compounds from Boesenbergia rotunda. Case Studies in Chemical and Environmental Engineering, 10, 100992. https://doi.org/10.1016/j.cscee.2024.100992

Nikakhtar, S., Nafari, A., Barzegari, A., Parvarinezhad, S., Malekshah, R. E., & Gholivand, K. (2025). Novel phosphoramide ligand shows promise as a cytotoxic agent against breast cancer: Molecular docking, ADMET studies and quantum studies. Results in Chemistry, 16, 102520. https://doi.org/10.1016/j.rechem.2025.102520

Odhiambo, D. O., Kerubo, L. K., Njagi, E. C., Kithure, J. N., & Wekesa, E. N. (2025). In-Silico Pharmacokinetics Adme/Tox Analysis of Phytochemicals from Genus Dracaena for Their Therapeutic Potential. SSRN. https://doi.org/10.2139/ssrn.5146717

Ojuka, P., Kimani, N. M., Apollo, S., Nyariki, J., Ramos, R. S., & Santos, C. B. R. (2023). Phytochemistry of plants in the genus Vepris: A review and in silico analysis of their ADMET properties. South African Journal of Botany, 157, 106–114. https://doi.org/10.1016/j.sajb.2023.03.057

Okon, I. A., Beshel, J. A., Aytar, E. C., & Owu, D. U. (2025). In silico molecular docking study and antihypertensive property of Gongronema latifolium Benth. Ethanol leaf extract in dexamethasone-induced hypertension in Wistar rats. Phytomedicine Plus, 5(4), 100892. https://doi.org/10.1016/j.phyplu.2025.100892

Oktomalioputri, B., Afriwardi, A., Darwin, E., & Rita, R. S. (2025). Network pharmacology, molecular docking, and molecular dynamics analyses to explore the molecular mechanism of paclitaxel in atherosclerosis therapy. Narra J, 5(2), e2140. https://doi.org/10.52225/narra.v5i2.2140

Pan, L., Li, J., Xu, Q., Gao, Z., Yang, M., Wu, X., & Li, X. (2024). HER2/PI3K/AKT pathway in HER2-positive breast cancer: A review. Medicine, 103(24), e38508. https://doi.org/10.1097/MD.0000000000038508

Putri, F. E., & Azra, F. (2025). Modeling The Relationship Between Net Atomic Charge And The Activity Of 4-Hydrazinyl-6-Phenylpyrimidine-5- Carbonitrile Derivatives As Anti-Breast Cancer Agents. 8.

Qasem, A. (2025). GC-MS Analysis, Antimicrobial Activity, and Genotoxicity of Pimpinella anisum Essential oil: In Vitro, ADMET and Molecular Docking Investigations. Phyton, 94(3), 809–824. https://doi.org/10.32604/phyton.2025.062683

Rajkumar, K., Gokulakrishnan, V., Anand, S., Durga, R., Senthilkumar, G., Karthick, S. S., & Kothai, R. K. (2025). Anticancer evaluation of Myo-inositol through carbonic anhydrase IV inhibition activity: A spectroscopic, quantum computational, topological, drug-likeness and in-silico molecular docking studies. Results in Chemistry, 17, 102605. https://doi.org/10.1016/j.rechem.2025.102605

Rampogu, S. (2025). Structure-based pharmacophore modeling, molecular docking and ADMET analysis to discover potential hMPV inhibitors. In Silico Research in Biomedicine, 1, 100031. https://doi.org/10.1016/j.insi.2025.100031

Saritha, K., Alivelu, M., & Mohammad, M. (2024). Drug-likeness analysis, in silico ADMET profiling of compounds in Kedrostis foetidissima (Jacq.) Cogn, and antibacterial activity of the plant extract. In Silico Pharmacology, 12(2), 67. https://doi.org/10.1007/s40203-024-00240-1

Shil, R., & Ankar, R. (2025). Chemotherapy-Induced Peripheral Neuropathy in Breast Cancer Patients: A Narrative Review. Archives of Breast Cancer, 12, 15–22. https://doi.org/10.32768/abc.202512115-22

Shrestha, A., Marahatha, R., Basnet, S., Regmi, B. P., Katuwal, S., Dahal, S. R., Sharma, K. R., Adhikari, A., Chandra Basnyat, R., & Parajuli, N. (2022). Molecular Docking and Dynamics Simulation of Several Flavonoids Predict Cyanidin as an Effective Drug Candidate against SARS-CoV-2 Spike Protein. Advances in Pharmacological and Pharmaceutical Sciences, 2022, 3742318. https://doi.org/10.1155/2022/3742318

Sindi, E. R., Polash, M. J. I., Alves, G. B., Bayil, I., Afolabi, S. O., Alharbi, H. M., Khojah, A. A., Oliveira, J. I. N., Al‐Mutairi, A. A., & Zaki, M. E. A. (2025). Assessment of Annona muricata Phytochemicals as 17β‐HSD1 Inhibitors through Molecular Docking, Dynamics Simulation, DFT, and ADMET Analyses. Journal of Cellular and Molecular Medicine, 29(21), e70904. https://doi.org/10.1111/jcmm.70904

Toni, N. P. D., & Azra, F. (2022). Modeling the Relationship of Net Atomic Charge with the Activity of 5-Aminopyrazole Derivative Compounds as Antioxidants with AM1 Method. EKSAKTA: Berkala Ilmiah Bidang MIPA, 23(04), 242–252. https://doi.org/10.24036/eksakta/vol23-iss04/334

Zaman, H., Saeed, A., Ismail, H., Anwaar, S., Latif, M., Hashmi, M. Z., & El-Seedi, H. R. (2024). Novel pyrimidine linked acyl thiourea derivatives as potent α-amylase and proteinase K inhibitors: Design, synthesis, molecular docking and ADME studies. RSC Advances, 14(45), 33235–33246. https://doi.org/10.1039/D4RA05799F

Zarougui, S., Er-rajy, M., Faris, A., Imtara, H., El Fadili, M., Al Kamaly, O., Zuhair Alshawwa, S., Nasr, F. A., Aloui, M., & Elhallaoui, M. (2023). QSAR, DFT studies, docking molecular and simulation dynamic molecular of 2-styrylquinoline derivatives through their anticancer activity. Journal of Saudi Chemical Society, 27(6), 101728. https://doi.org/10.1016/j.jscs.2023.101728

Zeki, N. M., & Mustafa, Y. F. (2024). Digital alchemy: Exploring the pharmacokinetic and toxicity profiles of selected coumarin-heterocycle hybrids. Results in Chemistry, 10, 101754. https://doi.org/10.1016/j.rechem.2024.101754

Published

2026-09-30

How to Cite

Rahman, A., & Azra, F. (2026). DOCKING SIMULATION OF 1,2,3-TRIAZOLO-INDOLE-2-CARBOXYLATE DERIVATIVES AS POTENTIAL HER2 INHIBITORS FOR BREAST CANCER THERAPY. Jurnal Crystal : Publikasi Penelitian Kimia Dan Terapannya, 8(2), 273–287. https://doi.org/10.36526/jc.v8i2.7201