Malaria is one of the major causes of death in tropical and sub-tropical countries, caused by the infection of the protozoan parasite (Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, and Plasmodium knowlesi). As the prevalence of parasite drug-resistant strains increasing, alternative medicine to eliminate malaria is needed. In this study, a molecular docking protocol was employed to predict and select natural compounds from Indonesian medicinal plants as an antimalarial drug candidate. The docking protocol was validated by the RMSD value of crystal versus docking calculation. From 43 species of plants, 238 total compounds were collected and docked into Plasmepsin IV (PMIV) enzyme which plays a role in the nutrition uptake of Plasmodium in human blood circulation. This enzyme was collected from a protein database with codename 5I70. The protocol was produced an acceptable RMSD value of 1.435 Å. The docking experiment resulted in AM202 (Cassiamin B) from Cassia siamea as the best potent Plasmepsin IV inhibitor. This compound has the potential candidate for future anti-malarial drugs. Cassiamin B had an affinity value of -11.2 kcal/mol which was higher than PMIV's native ligand (-3.8 kcal/mol).

Medicinal plants have been a notable source for antimalarial agents. This study was aimed to investigate the antimalarial potency of Indonesian medicinal plants used traditionally in malarial fever therapy. A total of 238 compounds derived from 43 plants traditionally used to alleviate malarial fever were collected and loaded into molecular docking protocol. The compounds were screened against Hypoxanthine-Guanine-XanthinePhosphoribosyltransferase (HGXPRT, 3OZF) using the AutoDock Vina software 1.1.2. The compound is important for the purine synthesis of the parasite. The experiment resulted in AM125 (20isoveratramine) from Cyanthillium patulum to possess the highest affinity with free energy (ΔG)-11 kcal/mol, which is better than HGXPRT native ligands (-6.4kcal/mol). This suggested Cyanthillium patulum was a potential source for antimalarial agents in which its constituents, 20-isoveratramine might responsible for the claims.

The archipelagic country of Indonesia has been an endemic area of malaria in which the Indigenous people of Indonesia have used medicinal plants to fight against plasmodial parasites. The study focused on two medicinal plants of Indonesia, namely Combretum indicum and Magnolia figo. Phytochemical, spectroscopic, and bioactivity assay protocols were performed. The experiments resulted in the major components detected were terpenoids and phenolic constituents. The bioassay indicated significant antimalarial potency of the crude methanol extract of leaves of Combretum indicum and Magnolia figo.

The emergence of antibiotic resistance becomes a barrier in controlling infectious diseases, so it is necessary to find new alternative antibiotics. This study aimed to explore the potential of estuarine soil fungals secondary metabolites isolated from Katialada Village Gorontalo Location One and test their antibacterial activity against Staphylococcus aureus. The antibacterial parameter observed was the percent inhibition of ethyl acetate extracts against Staphylococcus aureus. The estuarine soil samples were cultured in PDA media producing five single fungal isolates differentiated based on color morphology, texture, and shape coded IS2-BTG-4.1.1, IS2-BTG-4.1.2, IS1-BTG-4.2, IS2-BTG4.3.1, and IS2-BTG-4.3.2. Those five samples were fermented using PDB media and the fermented products were extracted with ethyl acetate. The extracts were screened for its compound using a TLC plate and antibacterial testing with a single concentration of 100 g/mL in the microdilution method. The screening results showed that the five ethyl acetate extracts contained terpenoid compounds and code IS2-BTG-4.3.2 also had alkaloids. Based on the antibacterial test results, the five ethyl acetate extracts had growth inhibitory activity on the Staphylococcus aureus, with the percentage showed by IS2-BTG-4.1.1 50,2% ± 14,8%, IS2-BTG-4.1.2 35,6% ± 12,9%, IS1-BTG-4.2 13,0% ± 7,3%, IS2-BTG-4.3.1 13,6% ± 6,0%, and IS2-BTG-4.3.2 by 12,4% ± 9,2%.