Arjita, P. D., Rozikin, R., Adnyana, G. A., Saputra, P. B. A., & Zoraya, S. I. (2022). Worm (Eunice sp.) extract for ovarian cancer : An in silico approach. Tropical Journal of Natural Product Research, 6(6), 915–920.

Banday, M. Z., Sameer, A. S., & Nissar, S. (2020). Pathophysiology of diabetes: An overview. Avicenna Journal of Medicine, 10(4), 174–188.

Bhatnagar, A., & Mishra, A. (2022). α-Glucosidase inhibitors for diabetes/blood sugar regulation. In: Maheshwari, V. L., & Patil, R. H. (Ed.). Natural products as enzyme inhibitors. Springer. Singapore. Pp. 269–283.

Cao, G., Du, T., Bai, Y., Yang, T., & Zuo, J. (2020). Effects of surfactant molecular structure on the stability of water in oil emulsion. Journal of Petroleum Science and Engineering, 196, 107695.

Chivere, V. T., Kondiah, P. P. D., Choonara, Y. E., & Pillay, V. (2020). Nanotechnology-based biopolymeric oral delivery platforms for advanced cancer treatment. Cancers, 12(2), 522.

Costa, P., Pilli, R., Pinheiro, S., & Bakuzis, P. (2022). The chemistry of carbonyl compounds and derivatives. Royal Society of Chemistry, London.

Daub, C. D., Mabate, B., Malgas, S., & Pletschke, B. I. (2020). Fucoidan from Ecklonia maxima is a powerful inhibitor of the diabetes-related enzyme, α-glucosidase. International Journal of Biological Macromolecules, 151, 412–420.

Dirir, A. M., Daou, M., Yousef, A. F., & Yousef, L. F. (2022). A review of alpha-glucosidase inhibitors from plants as potential candidates for the treatment of type-2 diabetes. Phytochemistry Reviews, 21(4), 1049–1079.

Fan, J., Fu, A., & Zhang, L. (2019). Progress in molecular docking. Quantitative Biology, 7, 83–89.

Fazalani, R. (2018). Tradisi bau nyale terhadap nilai multikultural pada suku sasak. Jurnal Pendidikan Bahasa Dan Sastra Indonesia, 13(2), 162–171.

Howes, M. R., Quave, C. L., Collemare, J., Tatsis, E. C., Twilley, D., Lulekal, E., Farlow, A., Li, L., Cazar, M., & Leaman, D. (2020). Molecules from nature: Reconciling biodiversity conservation and global healthcare imperatives for sustainable use of medicinal plants and fungi. Plants People Planet, 2(5), 463–481.

Iyakutti, K., Surya, V. J., Lakshmi, I., Rajeswarapalanichamy, R., & Kawazoe, Y. (2023). Computational study of Van der Waals interaction at the sub‐nanometer scale and its influence on the molecular behavior under confinement conditions in graphene-2D h-BN heterostructure. International Journal of Quantum Chemistry, 123(21), e27205.

Jena, S., Dutta, J., Tulsiyan, K. D., Sahu, A. K., Choudhury, S. S., & Biswal, H. S. (2022). Noncovalent interactions in proteins and nucleic acids: Beyond hydrogen bonding and π-stacking. Chemical Society Reviews, 51(11), 4261–4286.

Kagramanov, N. D. (2020). Algorithms for fragmentation of n-alkanes and n-perfluoroalkanes. Fluorine Notes, 128, 2020.

Kashtoh, H., & Baek, K.-H. (2022). Recent updates on phytoconstituent alpha-glucosidase inhibitors: An approach towards the treatment of type two diabetes. Plants, 11(20), 2722.

Khalid, M., Alkaabi, J., Khan, M. A. B., & Adem, A. (2021). Insulin signal transduction perturbations in insulin resistance. International Journal of Molecular Sciences, 22(16), 8590.

Khalil, A. S. M., Giribabu, N., Yelumalai, S., Shahzad, H., Kilari, E. K., & Salleh, N. (2021). Myristic acid defends against testicular oxidative stress, inflammation, apoptosis: Restoration of spermatogenesis, steroidogenesis in diabetic rats. Life Sciences, 278, 119605.

Lam, T. P., Tran, N. V. N., Pham, L. H. D., Lai, N. V. T., Dang, B. T. N., Truong, N. L. N., Nguyen-Vo, S. K., Hoang, T. L., Mai, T. T., & Tran, T.-D. (2024). Flavonoids as dual-target inhibitors against α-glucosidase and α-amylase: A systematic review of in vitro studies. Natural Products Bioprospecting, 14(1), 4.

Li, J., Fu, A., & Zhang, L. (2019). An overview of scoring functions used for protein-ligand interactions in molecular docking. Interdisciplinary Sciences: Computational Life Sciences, 11, 320–328.

Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022). Trends in insulin resistance: Insights into mechanisms and therapeutic strategy. Signal Transduction Therapy, Targeted, 7(1), 216.

Liu, W., Li, H., Wen, Y., Liu, Y., Wang, J., & Sun, B. (2021). Molecular mechanism for the α-glucosidase inhibitory effect of wheat germ peptides. Journal of Agricultural and Food Chemistry, 69(50), 15231–15239.

Marušić, M., Paić, M., Knobloch, M., & Liberati Pršo, A.-M. (2021). NAFLD, insulin resistance, and diabetes mellitus type 2. Canadian Journal of Gastroenterology and Hepatology, 2021(1), 6613827.

Mosaddad, S. A., Beigi, K., Doroodizadeh, T., Haghnegahdar, M., Golfeshan, F., Ranjbar, R., & Tebyanian, H. (2021). Therapeutic applications of herbal/synthetic/bio-drug in oral cancer: An update. European Journal of Pharmacology, 890, 173657.

Mukhtar, Y., Galalain, A., & Yunusa, U. (2020). A modern overview on diabetes mellitus: a chronic endocrine disorder. European Journal of Biology, 5(2), 1–14.

Narkhede, R. R., Pise, A. V, Cheke, R. S., & Shinde, S. D. (2020). Recognition of natural products as potential inhibitors of COVID-19 main protease (Mpro): In-silico evidences. Natural Products Bioprospecting, 10, 297–306.

Nugraha, R. V., Ridwansyah, H., Ghozali, M., Khairani, A. F., & Atik, N. (2020). Traditional herbal medicine candidates as complementary treatments for COVID-19: A review of their mechanisms, pros and cons. Evidence-Based Complementary and Alternative Medicine, 2020(1), 2560645.

Pagadala, N. S., Syed, K., & Tuszynski, J. (2017). Software for molecular docking: a review. Biophysical Reviews, 9(2), 91–102.

Pandi, S., Kulanthaivel, L., Subbaraj, G. K., Rajaram, S., & Subramanian, S. (2022). Screening of potential breast cancer inhibitors through molecular docking and molecular dynamics simulation. BioMed Research International, 2(1), 3338549.

Riordan, F., McHugh, S. M., O’Donovan, C., Mtshede, M. N., & Kearney, P. M. (2020). The role of physician and practice characteristics in the quality of diabetes management in primary care: Systematic review and meta-analysis. Journal of General Internal Medicine, 35, 1836–1848.

Saraswathi, V., Kumar, N., Ai, W., Gopal, T., Bhatt, S., Harris, E. N., Talmon, G. A., & Desouza, C. V. (2022). Myristic acid supplementation aggravates high fat diet-induced adipose inflammation and systemic insulin resistance in mice. Biomolecules, 12(6), 739.

Silveira, D., Prieto-Garcia, J. M., Boylan, F., Estrada, O., Fonseca-Bazzo, Y. M., Jamal, C. M., Magalhães, P. O., Pereira, E. O., Tomczyk, M., & Heinrich, M. (2020). COVID-19: Is there evidence for the use of herbal medicines as adjuvant symptomatic therapy? Frontiers in Pharmacology, 11, 581840.

Sisakht, M., Mahmoodzadeh, A., & Darabian, M. (2021). Plant-derived chemicals as potential inhibitors of SARS-CoV-2 main protease (6LU7), a virtual screening study. Phytotherapy Research, 35(6), 3262–3274.

Snyder, H. D., & Kucukkal, T. G. (2021). Computational chemistry activities with Avogadro and ORCA. Journal of Chemical Education, 98(4), 1335–1341.

Stanzione, F., Giangreco, I., & Cole, J. C. (2021). Chapter Four – Use of molecular docking computational tools in drug discovery. In: Witty, D. R., & Cox, B. (Eds.). Progress in medicinal chemistry. Elsevier. Vol. 60. Pp. 273–343.

Tangkiatkumjai, M., Boardman, H., & Walker, D.-M. (2020). Potential factors that influence usage of complementary and alternative medicine worldwide: A systematic review. BMC Complementary Medicine Therapies, 20(1), 363.

Tian, W., Chen, C., Lei, X., Zhao, J., & Liang, J. (2018). CASTp 3.0: Computed atlas of surface topography of proteins. Nucleic Acids Research, 46(W1), W363–W367.

Trott, O., & Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. Journal of Computational Chemistry, 31(2), 455–461.

Yamamoto, K., Miyake, H., Kusunoki, M., & Osaki, S. (2010). Crystal structures of isomaltase from Saccharomyces cerevisiae and in complex with its competitive inhibitor maltose. The FEBS Journal, 277(20), 4205–4214.

Yang, C., Chen, E. A., & Zhang, Y. (2022). Protein-ligand docking in the machine-learning era. Molecules, 27(14), 4568.

Zhang, J., Hu, K., Di, L., Wang, P., Liu, Z., Zhang, J., Yue, P., Song, W., Zhang, J., & Chen, T. (2021). Traditional herbal medicine and nanomedicine: Converging disciplines to improve therapeutic efficacy and human health. Advanced Drug Delivery Reviews, 178, 113964.

Zheng, Y., Tian, J., Yang, W., Chen, S., Liu, D., Fang, H., Zhang, H., & Ye, X. (2020). Inhibition mechanism of ferulic acid against α-amylase and α-glucosidase. Food Chemistry, 317, 126346.