Potential of Some Derivative Compounds and Plants as Antidepresants With Computational Screening Method: A Literature Review

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Vina Luthfiana Hasna
Erlangga Muhamad Prayuda
Rika Valensia
Aditya Putra Tama
Khamairah Azzahrawaani Hermawan
Lina nurfadhila


Depression is a severe mental illness that is usually characterized by feelings of sadness or anxiety. Data reports that some 800,000 cases of suicide are the result of depression. Meanwhile, in Indonesia, individuals with depression are in the range of 6% of the total population. Another finding was by the Central Statistics Agency (2014) that at least 3.4 million youth aged 10-19 experienced mental disorders in 2013. This review article aims to provide readers with information regarding compounds that have the potential as antidepressants. The method used in this literature review is to search for reference sources in the form of scientific journals or scientific articles, both on a national and international scale, related to in silico testing of antidepressant compounds. Several compounds can be used as antidepressants. The most common receptors used to test antidepressant activity are 5-HT1A (5-hydroxytryptophan) and MAOA (Monoamine Oxidase A). Compounds that have potential as antidepressants include safrole from nutmeg, Curcuma longa active compounds, curcumin derivatives, Angelica archagelica extracts, Gingerol and shogaol in Zingiber officinale Constituents, Dehydrozingerone Compounds from Zingiber officinale extract, eicosanal and acetate phytol from Elatostem papillosum, L. -17, 1MeTIQ, and Aegeline in Aegle marmelos fruit extract,

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Hasna, V. L., Prayuda, E. M., Valensia, R., Tama, A. P., Hermawan, K. A., & Nurfadhila, L. (2023). Potential of Some Derivative Compounds and Plants as Antidepresants With Computational Screening Method: A Literature Review. Journal of Pharmaceutical and Sciences, 6(1), 100–108. https://doi.org/10.36490/journal-jps.com.v6i1.29
Review Article


Chilmonczyk, Z., Bojarski, A., Pilc, A., & Sylte, I. (2015). Functional Selectivity and Antidepressant Activity of Serotonin 1A Receptor Ligands. International Journal of Molecular Sciences, 16(8), 18474–18506. https://doi.org/10.3390/ijms160818474

Desi, D., Felita, A., & Kinasih, A. (2020). Gejala Depresi pada Remaja di Sekolah Menengah Atas. Care : Jurnal Ilmiah Ilmu Kesehatan, 8(1), 30. https://doi.org/10.33366/jc.v8i1.1144

Emon, N. U., Alam, S., Rudra, S., Chowdhury, S., Rajbangshi, J. C., & Ganguly, A. (2022). Evaluation of pharmacological potentials of the aerial part of Achyranthes aspera L.: in vivo, in vitro and in silico approaches. Advances in Traditional Medicine, 22(1), 141–154. https://doi.org/10.1007/s13596-020-00528-5

Hasanah, U., Fitri, N. L., Supardi, S., & PH, L. (2020). Depression Among College Students Due to the COVID-19 Pandemic. Jurnal Keperawatan Jiwa, 8(4), 421. https://doi.org/10.26714/jkj.8.4.2020.421-424

Immadisetty, K., Geffert, L. M., Surratt, C. K., & Madura, J. D. (2013). New design strategies for antidepressant drugs. Expert Opinion on Drug Discovery, 8(11), 1399–1414. https://doi.org/10.1517/17460441.2013.830102

Ittiyavirah, S. P., & Paul, M. (2013). In silico docking analysis of constituents of Zingiber officinale as antidepressant. Journal of Pharmacognosy and Phytotherapy, 5(6), 101–105. https://doi.org/10.5897/JPP2013.0280

Kaufman, J., DeLorenzo, C., Choudhury, S., & Parsey, R. v. (2016). The 5-HT1A receptor in Major Depressive Disorder. European Neuropsychopharmacology : The Journal of the European College of Neuropsychopharmacology, 26(3), 397–410. https://doi.org/10.1016/j.euroneuro.2015.12.039

Kaur, A., Garg, S., Shiekh, B. A., Singh, N., Singh, P., & Bhatti, R. (2020). InSilico Studies and In Vivo MAOA Inhibitory Activity of Coumarins Isolated from Angelica archangelica Extract: An Approach toward Antidepressant Activity. ACS Omega, 5(25), 15069–15076. https://doi.org/10.1021/acsomega.0c00887

Kemenkes RI. (2018). Hasil Utama RISKESDAS 2018.

Maylinda, S., & Novianty, R. (2022). Studi In SIlico Senyawa Safrole sebagai Kandidat Obat Antidepresan. 1–11.

Meng, X.-Y., Zhang, H.-X., Mezei, M., & Cui, M. (2011). Molecular docking: a powerful approach for structure-based drug discovery. Current Computer-Aided Drug Design, 7(2), 146–157. https://doi.org/10.2174/157340911795677602

Możdżeń, E., Babińska, I., Wójcikowski, J., & Antkiewicz -Michaluk, L. (2019). 1-Methyl-1,2,3,4-tetrahydroisoquinoline – The toxicological research on an exo/endogenous amine with antidepressant-like activity – In vivo, in vitro and in silico studies. Pharmacological Reports, 71(6), 1140–1146. https://doi.org/10.1016/j.pharep.2019.06.016

Nazemi, H., Mirzaei, M., & Jafari, E. (2019). Antidepressant Activity of Curcumin by Monoamine Oxidase–A Inhibition. Advanced Journal of Chemistry, Section B, 1(1), 3–9. https://doi.org/10.33945/SAMI/AJCB.2019.1.2

Niadi, A. T., Dewi, M. K., & Harun, Y. Z. (2022). Uji Aktivitas Senyawa Aktif Kunyit (Curcuma Longa l.) sebagai Kandidat Antidepresan dengan Metode In Silico. Medical Science, 646–652.

Rahmy, H. A., & Muslimahayati. (2021). Depresi dan Kecemasan Remaja Ditinjau dari Perspektif Kesehatan dan Islam. Jo-DEST: Journal of Demography, Etnography, and Social Transformation, 1(1), 35–44.

Robby, D. R. (2013). Hubungan antara Kecerdasan Spiritual dengan Depresi Pada Penyandang Cacat Paska Kusta di Liposos Dinorojo Jepara. Journal of Social and Industrial Psychology, 2(1), 50–55.

Sarapultsev, A., Vassiliev, P., Grinchii, D., Kiss, A., Mach, M., Osacka, J., Balloova, A., Paliokha, R., Kochetkov, A., Sidorova, L., Sarapultsev, P., Chupakhin, O., Rantsev, M., Spasov, A., & Dremencov, E. (2021). Combined In Silico, Ex Vivo, and In Vivo Assessment of L-17, a Thiadiazine Derivative with Putative Neuro- and Cardioprotective and Antidepressant Effects. International Journal of Molecular Sciences, 22(24), 13626. https://doi.org/10.3390/ijms222413626

Singh, A. P., Singh, L., Singh, P., & Bhatti, R. (2021). Biological Evaluation of Aegle marmelos Fruit Extract and Isolated Aegeline in Alleviating Pain-Depression Dyad: In Silico Analysis of Aegeline on MAO-A and iNOS. ACS Omega, 6(3), 2034–2044. https://doi.org/10.1021/acsomega.0c04739


Uddin, Md. Z., Paul, A., Rakib, A., Sami, S. A., Mahmud, S., Rana, Md. S., Hossain, S., Tareq, A. M., Dutta, M., Emran, T. bin, & Simal-Gandara, J. (2021). Chemical Profiles and Pharmacological Properties with in Silico Studies on Elatostema papillosum Wedd. Molecules, 26(4), 809. https://doi.org/10.3390/molecules26040809

Wang, X., Zhou, H., Wang, X., Lei, K., & Wang, S. (2021). Design, Synthesis, and In Vivo and In Silico Evaluation of Coumarin Derivatives with Potential Antidepressant Effects. Molecules (Basel, Switzerland), 26(18). https://doi.org/10.3390/molecules26185556

WHO. (2012). Depression, A Global Public Health Concern.

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