1
Wyss-Coray, T. (2016). Ageing, neurodegeneration and brain rejuvenation. Nature, 539(7628), 180-186.
2
Zhang, W., Xiao, D., Mao, Q., & Xia, H. (2023). Role of neuroinflammation in neurodegeneration development. Signal Transduction and Targeted Therapy, 8(1), 267.
3
Mattson, M. P., & Arumugam, T. V. (2018). Hallmarks of brain aging: adaptive and pathological modification by metabolic states. Cell metabolism, 27(6), 1176-1199.
4
Blinkouskaya, Y., Caçoilo, A., Gollamudi, T., Jalalian, S., & Weickenmeier, J. (2021). Brain aging mechanisms with mechanical manifestations. Mechanisms of ageing and development, 200, 111575.
5
Kirkwood, T. B. (2005). Understanding the odd science of aging. Cell, 120(4), 437-447.
6
Ferraro, K., & Carr, D. (Eds.). (2021). Handbook of aging and the social sciences. Academic Press.
7
Sikora, E., Bielak-Zmijewska, A., Dudkowska, M., Krzystyniak, A., Mosieniak, G., Wesierska, M., & Wlodarczyk, J. (2021). Cellular senescence in brain aging. Frontiers in aging neuroscience, 13, 646924.
8
Zia, A., Pourbagher-Shahri, A. M., Farkhondeh, T., & Samarghandian, S. (2021). Molecular and cellular pathways contributing to brain aging. Behavioral and Brain Functions, 17(1), 6.
9
Cole, G. M., Teter, B., & Frautschy, S. A. (2007). Neuroprotective effects of curcumin. The molecular targets and therapeutic uses of curcumin in health and disease, 197-212.
10
Lee, K. H., Cha, M., & Lee, B. H. (2020). Neuroprotective effect of antioxidants in the brain. International journal of molecular sciences, 21(19), 7152.
11
Abd Rani, N. Z., Husain, K., & Kumolosasi, E. (2018). Moringa genus: a review of phytochemistry and pharmacology. Frontiers in pharmacology, 9, 108.
12
Oguntibeju, O. O., Aboua, G. Y., & Omodanisi, E. I. (2020). Effects of Moringa oleifera on oxidative stress, apoptotic and inflammatory biomarkers in streptozotocin-induced diabetic animal model. South African Journal of Botany, 129, 354-365.
13
Mohamed, A. A. R., Metwally, M. M., Khalil, S. R., Salem, G. A., & Ali, H. A. (2019). Moringa oleifera extract attenuates the CoCl2 induced hypoxia of rat's brain: expression pattern of HIF-1α, NF-kB, MAO and EPO. Biomedicine & Pharmacotherapy, 109, 1688-1697.
14
Islam, Z., Islam, S. M., Hossen, F., Mahtab-ul-Islam, K., Hasan, M. R., & Karim, R. (2021). Moringa oleifera is a prominent source of nutrients with potential health benefits. International Journal of Food Science, 2021.
15
Davidson, R. J., & McEwen, B. S. (2012). Social influences on neuroplasticity: stress and interventions to promote well-being. Nature neuroscience, 15(5), 689-695.
16
Price, R. B., & Duman, R. (2020). Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model. Molecular psychiatry, 25(3), 530-543.
17
Kaplan, D. R., & Miller, F. D. (2000). Neurotrophin signal transduction in the nervous system. Current opinion in neurobiology, 10(3), 381-391.
18
Numakawa, T., & Odaka, H. (2022). The role of neurotrophin signaling in age-related cognitive decline and cognitive diseases. International Journal of Molecular Sciences, 23(14), 7726.
19
Rizwani, G. H., Shareef, H., Huma, A., & Hasan, S. F. (2014). Antihyperglycemic and hypolipidemic effects of Hibiscus schizopetalus (Mast) Hook in alloxan-induced diabetic rats. Pak. J. Pharm. Sci, 27(1), 83-89.
20
Wong, S., Chan, E. W., & Chan, H. (2016). A review on the phytochemistry and pharmacology of two lesser-known Hibiscus species: H. taiwanensis and H. schizopetalus. Int. J. Pharmacogn. Phytochem. Res, 8, 1341-1346.
21
Dallakyan, S., & Olson, A. J. (2015). Small-molecule library screening by docking with PyRx. Chemical biology: methods and protocols, 243-250.
22
Kezia, I., Erlina, L., Mudjihartini, N., & Fadilah, F. (2023). Molecular Simulation for Screening Bioactive Compounds as Potential Candidate for Alzheimer’s Disease. EKSAKTA: Berkala Ilmiah Bidang MIPA, 24(02), 179-192.
23
Li, Q., & Shah, S. (2017). Structure-based virtual screening. Protein Bioinformatics: From Protein Modifications and Networks to Proteomics, 111-124.
24
Kimber, T. B., Chen, Y., & Volkamer, A. (2021). Deep learning in virtual screening: recent applications and developments. International journal of molecular sciences, 22(9), 4435.
25
Pathak, M., Ojha, H., Tiwari, A. K., Sharma, D., Saini, M., & Kakkar, R. (2017). Design, synthesis and biological evaluation of antimalarial activity of new derivatives of 2, 4, 6-s-triazine. Chemistry Central Journal, 11, 1-11.
26
Westbrook, J., Feng, Z., Jain, S., Bhat, T. N., Thanki, N., Ravichandran, V., ... & Berman, H. M. (2002). The protein data bank: unifying the archive. Nucleic acids research, 30(1), 245-248.
27
Rozaliyani, A., Wibowo, H., & Damayanti, T. (2023). Biological Activity of Der p 1 and Der f 1 in Allergic Asthma and Their Contribution in Inflammation and the Role of Anti-inflammation in Allergic Asthma. EKSAKTA: Berkala Ilmiah Bidang MIPA, 23(04), 560-573.
28
Aziz, A., Andrianto, D., & Safithri, M. (2022). Penambatan Molekuler Senyawa Bioaktif Daun Wungu (Graptophyllum Pictum (L) Griff) sebagai Inhibitor Tirosinase. Indonesian Journal of Pharmaceutical Science and Technology, 9(2), 96-107.
29
Najibi, S. M., Maadooliat, M., Zhou, L., Huang, J. Z., & Gao, X. (2017). Protein structure classification and loop modeling using multiple Ramachandran distributions. Computational and structural biotechnology journal, 15, 243-254.
30
Sumitha, A., Devi, P. B., Hari, S., & Dhanasekaran, R. (2020). COVID-19—In silico structure prediction and molecular docking studies with doxycycline and quinine. Biomed. Pharmacol. J, 13, 1185-1193.
31
Chagas, C. M., Moss, S., & Alisaraie, L. (2018). Drug metabolites and their effects on the development of adverse reactions: Revisiting Lipinski’s Rule of Five. International journal of pharmaceutics, 549(1-2), 133-149.
32
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (1997). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced drug delivery reviews, 23(1-3), 3-25.
33
Kramer, J. (2014). Label Review Manual Chapter 7: Precautionary Statements Label Review Manual.
34
Gilbert, S. G. (2020). Precautionary principle. In Information Resources in Toxicology (pp. 489-494). Academic Press.
35
Mardianingrum, R., Yusuf, M., Hariono, M., Mohd Gazzali, A., & Muchtaridi, M. (2022). α-Mangostin and its derivatives against estrogen receptor alpha. Journal of Biomolecular Structure and Dynamics, 40(6), 2621-2634.
36
Ruswanto, R., Mardianingrum, R., & Yanuar, A. (2022). Computational studies of thiourea derivatives as anticancer candidates through inhibition of Sirtuin-1 (SIRT1). Jurnal Kimia Sains dan Aplikasi, 25(3), 87-96.