Masa Depan Penemuan Obat Melalui Pendekatan In Silico, Senyawa Alami, dan strategi PROTAC
DOI:
https://doi.org/10.71417/galen.v2i2.108Keywords:
Ai, Penemuan obat, In Silico, PROTAC, Senyawa AlamiAbstract
Kimia medisinal merupakan bidang multidisipliner yang terus berkembang pesat, mengintegrasikan pendekatan kimia, biologi, dan teknologi informasi untuk penemuan dan pengembangan obat baru. Artikel ini meninjau 20 publikasi terkini yang mencakup pendekatan in silico, pengembangan senyawa alami, strategi PROTAC, peptida terapeutik, prodrug, dan eksplorasi ruang kimia makrosiklik. Literatur diperoleh dari basis data internasional dan nasional termasuk PubMed, Scopus, dan Neliti, dengan fokus pada artikel yang diterbitkan antara 2020–2025. Analisis menunjukkan pergeseran tren menuju penggunaan kecerdasan buatan (AI), integrasi desain berbasis struktur dan sifat fisikokimia, serta peningkatan pemanfaatan scaffold baru. Review ini diharapkan menjadi referensi bagi peneliti dalam mengidentifikasi peluang riset dan strategi optimasi dalam kimia medisinal modern.
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Amin, S., Azhari, R. A., Nurmaliya, F. R., Pujawati4, L., Hamidah, S., & Sopiyurrohman, M. L. (2025). Peran Kimia Medisinal dalam Pengembangan Obat Antikanker: Kajian Literatur tentang Senyawa Bioaktif dari Sumber Alam. Jurnal
Ners, 9(2), 2987–2992. https://doi.org/10.31004/jn.v9i2.44578
Amin, S., Dewi Maharani, K., Program, ), Farmasi, S., Bakti, U., & Husada, T. (2025). Eksplorasi Senyawa Bioaktif Tumbuhan Lokal Sebagai Antioksidan Neuroprotektif Untuk Terapi Alzheimer. Indonesian Journal of Science, 1(6), 1369–1375.
Amin, S., Mustafidah, S., Nabila, N. S., & Maharani, C. (2024). Review Artikel: Pendekatan in Silico dalam Kimia Medisinal tentang Resistensi Antibiotik. Jurnal Ilmu Medis Indonesia, 4(1), 83–91.https://doi.org/10.35912/jimi.v4i1.4561
Amin, S., Sutaryat, L. D., Yuniar, L. U., & Haryana, Y. (2025). Kajian Literatur : Eksplorasi Metabolit Sekunder Tanaman Lokal Indonesia sebagai Terapi Alami Kanker Payudara. Journal of Innovative and Creativity (Joecy), 5(2), 231–239. https://doi.org/10.31004/joecy.v5i2.163
Ancuceanu, R., Lascu, B. E., Drăgănescu, D., & Dinu, M. (2025). In Silico ADME Methods Used in the Evaluation of Natural Products. Pharmaceutics, 17(8), 1002. https://doi.org/10.3390/pharmaceutics17081002
Apprato, G., D’Agostini, G., Rossetti, P., Ermondi, G., & Caron, G. (2023). In Silico Tools to Extract the Drug Design Information Content of Degradation Data: The Case of PROTACs Targeting the Androgen Receptor. Molecules,
28(3). https://doi.org/10.3390/molecules28031206
Ben Geoffrey, A. S., Agrawal, D., Kulkarni, N. M., Vetrivel, R., & Gurram, K. (2023). PROTAC-Design-Evaluator (PRODE): An Advanced Method for In- Silico PROTAC Design. ACS Omega. https://doi.org/10.1021/acsomega.3c07318
Cecchini, C., Tardy, S., & Scapozza, L. (2022). Linkers as Game-changers in PROTAC Technology: Emphasizing General Trends in PROTAC Pharmacokinetics for their Rational Design. Chimia, 76(4), 341–345. https://doi.org/10.2533/chimia.2022.341
Chunarkar-Patil, P., Kaleem, M., Mishra, R., Ray, S., Ahmad, A., Verma, D., Bhayye, S., Dubey, R., Singh, H. N., & Kumar, S. (2024). Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies. Biomedicines, 12(1), 1–35. https://doi.org/10.3390/biomedicines12010201
de Almeida, V. M., Soares, M. B. P., & Santos-Filho, O. A. (2025). Exploring Experimental and In Silico Approaches for Antibody–Drug Conjugates in Oncology Therapies. Pharmaceuticals, 18(8), 1–32. https://doi.org/10.3390/ph18081198
de Souza, M. M., Gini, A. L. R., Moura, J. A., Scarim, C. B., Chin, C. M., & dos Santos, J. L. (2025). Prodrug Approach as a Strategy to Enhance Drug Permeability. Pharmaceuticals, 18(3). https://doi.org/10.3390/ph18030297
Desantis, J., Mammoli, A., Eleuteri, M., Coletti, A., Croci, F., Macchiarulo, A., & Goracci, L. (2022). PROTACs bearing piperazine-containing linkers: what effect on their protonation state? RSC Advances, 12(34), 21968–21977. https://doi.org/10.1039/d2ra03761k
Drummond, M. L., Henry, A., Li, H., & Williams, C. I. (2020). Improved accuracy for modeling ProTAC-mediated ternary complex formation and targeted protein degradation via new in silico methodologies. Journal of Chemical Information and Modeling, 60(10), 5234–5254. https://doi.org/10.1021/acs.jcim.0c00897
Ermondi, G., Jimenez, D. G., Rossi Sebastiano, M., Kihlberg, J., & Caron, G. (2023). Conformational Sampling Deciphers the Chameleonic Properties of a VHL-Based Degrader. Pharmaceutics, 15(1). https://doi.org/10.3390/pharmaceutics15010272
Espinoza-Chávez, R. M., Salerno, A., Liuzzi, A., Ilari, A., Milelli, A., Uliassi, E., & Bolognesi, M. L. (2023). Targeted Protein Degradation for Infectious Diseases: from Basic Biology to Drug Discovery. ACS Bio and Med Chem Au, 3(1), 32–45. https://doi.org/10.1021/acsbiomedchemau.2c00063
Hardian, A., Sitepu, E., Mulyapradana, A., Sitopu, J. W., Wardono, B. H., Bina, U., Informatika, S., Agung, U. D., & Simalungun, U. (2025). Studi in Silico Senyawa Alam sebagai Kandidat Obat Antikanker. Indonesian Research Journal on Education, 5, 1079–1085.
Herbert, W., & Kappauf, H. W. (2021). Metadata of the chapter that will be visualized online Spontanremissionen (Issue March). https://doi.org/10.1007/978-1-0716-1665-9
Kubryń, N., Fijałkowski, Ł., Nowaczyk, J., Jamil, A., & Nowaczyk, A. (2025). PROTAC Technology as a New Tool for Modern Pharmacotherapy. Molecules, 30(10). https://doi.org/10.3390/molecules30102123
Kuemper, S., Cairns, A. G., Birchall, K., Yao, Z., & Large, J. M. (2024). Targeted protein degradation in CNS disorders: a promising route to novel therapeutics? Frontiers in Molecular Neuroscience, 17(April), 1–9. https://doi.org/10.3389/fnmol.2024.1370509
Sasso, J. M., Tenchov, R., Wang, D. S., Johnson, L. S., Wang, X., & Zhou, Q. A. (2023). Molecular Glues: The Adhesive Connecting Targeted Protein Degradation to the Clinic. Biochemistry, 62(3), 601–623. https://doi.org/10.1021/acs.biochem.2c00245
Vegad, U. G., Gajjar, N. D., Nagar, P. R., Chauhan, S. P., Pandya, D. J., & Dhameliya, T. M. (2023). In silico screening, ADMET analysis and MD simulations of phytochemicals of Onosma bracteata Wall. as SARS CoV-2 inhibitors. 3 Biotech, 13(7), 1–15. https://doi.org/10.1007/s13205-023-
03635-7
Wei, M. (2023). In Silico Tools in PROTACs design. http://arxiv.org/abs/2307.01320
Wu, J., Wang, W., & Leung, C. H. (2023). Computational strategies for PROTAC drug discovery. Acta Materia Medica, 2(1), 42–53. https://doi.org/10.15212/AMM-2022-0041
Zagidullin, A., Milyukov, V., Rizvanov, A., & Bulatov, E. (2020). Novel approaches for the rational design of PROTAC linkers. Exploration of Targeted Anti-Tumor Therapy, 1(5), 381–390. https://doi.org/10.37349/etat.2020.00023
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