Introduction

The pathogen that causes malaria in humans and other mammalian species belongs to the genus Plasmodium (1). Most tropical and subtropical regions, including Asia, America, and Sub-Saharan Africa, including Nigeria, are affected by this disease. Although the Plasmodium genus contains four species known to cause the disease (Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, and Plasmodium malariae), Plasmodium falciparum is the most dangerous and pathogenic (2-7). It affects a variety of hosts and is the cause of the severe form of malaria. The Plasmodium is carried by the infected Anopheles mosquito, which also serves as a vector (7, 8). An infected person may experience fever, neurological symptoms, opisthotonous episodes, seizures, or possibly go into a coma or pass away. In 2022, there were approximately 249 million cases of malaria and 608,000 deaths globally, with sub-Saharan Africa bearing the brunt, accounting for about 94% of these cases and fatalities (1, 7). The 2023 World Malaria Report explores the relationship between climate change and malaria. Variations in temperature, humidity, and precipitation can affect the behavior and survival of Anopheles mosquitoes, which are responsible for spreading malaria. Additionally, extreme weather conditions, such as heatwaves and floods, may directly influence malaria transmission rates and overall disease impact (9). The development of effective malaria control strategies is significantly hindered by the resistance of malaria parasites to many commonly used antimalarial drugs. Currently, the treatment options for chloroquine-resistant Plasmodium falciparum infections are limited to artemisinins and artemisinin combination therapies (ACTs). However, decreased sensitivity to ACTs has been observed in some parts of Asia (1, 7). One of the significant challenges in creating new antimalarial candidate drugs is identifying lead compounds with optimal pharmacokinetic properties, including absorption, distribution, metabolism, excretion, and toxicity (ADMET) (10).

Natural product databases offer a practical source for virtual screening against therapeutic targets (11), including parasitic protozoal illnesses (12-14). Natural products have been used as significant leads for drug development: (a) Several natural products are effective drugs despite not falling under the "rule-of-five" (15); (b) despite this, they occupy different regions of biologically relevant chemical space (14), including abundant oxygen-containing functionalities (rarely nitrogen) and high degrees of chirality and complexity (16), (c) they have been evolved to be optimized for activity, including active transport (17), and (d) they can be used as lead structures for semisynthetic modification to increase activity, selectivity, or bioavailability (18). Globimetula oreophila belongs to the Loranthaceae family of parasitic plants, comprising over 75 genera and more than 900 species. It is a member of the hemiparasitic mistletoe family, which is primarily found in tropical Africa, which includes the Central Africa sub-region, Nigeria, Gabon, Congo, and Cameroun (18) Mistletoe uses modified roots to cling to a host plant on a wide range of dicotyledonous trees. Traditional medicine often uses the species to cure a variety of ailments, such as fever, headaches, stomachaches, and diarrhea (19, 20). The G. oreophila plant has previously been subjected to qualitative and quantitative phytochemical screening, which revealed the presence of a variety of secondary metabolites, including alkaloids, flavonoids, carbohydrates, triterpenes, tannins, glycosides, and saponins (20, 21), which have been reported to possess antimalarial activity (22, 23). Additionally, according to Dauda et al. (24), the plant's crude ethanol extract provides a rich source of necessary trace metals in the right amounts, including Zinc (Zn), Cobalt (Co), Copper (Cu), Nickel (Ni), Iron (Fe), and Cadmium (Cd), which supports the plant's therapeutic usefulness in ethnomedicine. According to reports, the Globimetula genus is generally rich in secondary metabolites, and flavonols serve as a marker of the genus's taxonomy (25). There have been prior reports on the antiplasmodial properties of ethanol leaf extract, as well as hexane, chloroform, ethyl acetate, and butanol fractions (7, 20). Previously, we conducted phytochemical investigation studies on the plant and reported the isolation of prenylated quercetin from the ethyl acetate fraction (26). The in-silico analysis of the prenylated quercetin against seven Plasmodium falciparum enzymes was also investigated for their antimalarial activity (10). Bio-assay-guided isolation of the hexane, ethyl acetate, and butanol fractions was also carried out to ascertain their antimalarial properties (7). These procedures led to the isolation of five compounds: stigmasterol, quercetin, quercetrin, prenylated dihydrostilbene, and 4′-methoxy-isoliquiritigenin, two of which are novel to this plant's genus and these were characterize and elucidated using spectroscopic techniques such as UV, IR, 1D and 2D NMR, (25, 26). Previously in silico studies, the isolated compounds of Globimetula oreophila showed exceptional binding affinities towards plasmepsin I and II, two main enzymes involved in hemoglobin catabolism throughout intra-erythrocytic development of Plasmodium falciparum. These in silico tests identified that molecules such as quercetin and stigmasterol bind strongly with catalytic sites of plasmepsins, suggesting their potential as inhibitors of the proteases (27). Moreover, drug-likeness and toxicity profiling using in silico tools indicated that the isolated compounds of Globimetula oreophila possess excellent oral bioavailability and minimal toxicity levels (27). These findings support their potential to serve as lead compounds for the development of novel antimalarial agents (27). While G. oreophila compounds show activity against plasmepsin I and II (27), their efficacy against other P. falciparum enzymes (e.g., falcipains, SERA5, PfDHFR-TS, and PfCDPK2) remains unexplored, despite these targets’ role in hemoglobin catabolism and parasite egress. This integrated approach aims to identify new inhibitors that would disrupt more than one stage of the parasite's life cycle. Inhibition of multiple enzymes that have multiple functions in multiple stages of the Plasmodium falciparum life cycle is a strategic approach to drug resistance. Inhibition of the essential enzymes which function across multiples stages of the parasite’s life cycle-offer a strategic approach to combat drug resistance: falcipains-2/3: critical for hemoglobin degradation, SERA5: mediates merozoite egress; underexplored in drug design, PfDHFR-TS/PfCDPK2: key to nucleotide synthesis and calcium-dependent signaling. In summary, the current research builds upon our previous in silico research, which demonstrated the inhibitory activity of Globimetula oreophila compounds against plasmepsin I and II. We hypothesized that flavonoids (e.g., DG1, DG2, and DG5), prenylated stilbene (DG3), and terpenoid (DG4) from G. oreophila will exhibit strong, multi-target inhibition against cysteine proteases (falcipain-2/3), SERA5, PfDHFR-TS/PfCDPK2 due to structural features (e.g., hydroxylation, prenylation, methoxylation) that align with conserved active sites across these enzymes. This study extends our prior in silico work on plasmepsins (27) to identify novel, multi-target inhibitors that can disrupt critical metabolic processes, thereby providing a multifaceted antimalarial strategy. In the current study, we report the in-silico analysis of G. oreophila secondary metabolites (stigmasterol, quercetin, quercetrin, prenylated dihydrostilbene, and 4′-methoxy-isoliquiritigenin) against Plasmodium falciparum enzymes in its life cycle.

Targeting specific enzymes within the malaria parasite and altering its metabolic pathways is a promising strategy for developing new antimalarial drugs. Both synthetic and natural antimalarial agents are designed to disrupt the parasite's unique metabolic processes while sparing the host. During the intra-erythrocytic stage of its lifecycle, the Plasmodium parasite consumes 60–80% of the hemoglobin in red blood cells. It breaks down the hemoglobin to utilize the released amino acids for protein synthesis and energy, while also creating an environment conducive to its growth and replication (10). The degradation of host hemoglobin is facilitated by a series of enzymes, including aspartic proteases (plasmepsins) (10, 27), cysteine proteases (falcipains) (10, 28), and dihydrofolate reductase (10, 29, 30), which release amino acids crucial for the parasite’s nutrition. Additionally, serine proteases (subtilases) play roles in erythrocyte invasion and parasite egress from the host (31, 32). Furthermore, calcium-dependent protein kinase 2, which is critical for calcium signaling throughout various stages of the parasite’s lifecycle, represents a valuable target for both the treatment and prevention of malaria (10).      

In this study, we utilized a computational approach to qualitatively assess the antimalarial potential of various compounds, optimizing the evaluation process and conserving time. The analysis focused on binding affinities and interactions with the active receptor site of these compounds. The findings suggest that the compounds under investigation could be promising candidates for developing inhibitors targeting proteases and kinases for the treatment of malaria. Specifically, we examined the inhibitory effects of quercetrin (DG1), dihydrostilbene (DG2), 4′-methoxy-isoliquiritigenin (DG3), stigmasterol (DG4), and quercetin (DG5) (Figure 1) isolated from Globimetula oreophila leaves on malaria-related proteins through in-silico docking studies. Our investigation targeted several key Plasmodium falciparum enzymes: cysteine proteases (falcipain-2 and -3), serine repeat antigen 5 (SERA5), dihydrofolate reductase-thymidylate synthase (PfDHFR-TS), and calcium-dependent["Figure", "https://etflin.com/file/figure/202508240355541343291314.png", "Figure 1. 2D Structures of isolated compounds from Globimetula oreophila.", "", "60%", "1"]protein kinase 2 (PfCDPK2). The compounds of interest, quercetin, quercetrin, dihydrostilbene, 4′-methoxy-isoliquiritigenin, and stigmasterol, were evaluated for their potential inhibitory activity against these vital enzymes of Plasmodium falciparum.

Experimental Section

Software, Hardware, and Databases

AutoDock Vina (33), MGL tools (34), UCSF Chimera (33), ChemDraw Ultra.12, Discovery Studio, Spartan 04, SwissAdme (online server), Mac OSX, Windows (Intel processor, Core i5).

Protein Crystal Structures

High-resolution, non-mutant crystal structure files of the following enzymes from P. falciparum were obtained from RCSB Protein Data Bank (http://www.rcsb.org/pdb accessed on November 17, 2023); Falcipain-2 [FP-2; PDB ID: 6SSZ] (35), Falcipain-3 [FP-3; PDB ID: 3BPM] (36), Serine Repeat Antigen-5 [SERA5; PDB ID: 6X42] (37), Plasmodium falciparum Calcium-Dependent Protein Kinase 2 [PfCDPK2; PDB ID: 4MVF] (38), and Plasmodium falciparum Dihydrofolate Reductase Thymidylate Synthase [PfDHFR-TS; PDB ID: 4DPD] (39).

In-Silico Antimalarial Studies

A total of five (5) compounds were isolated from the G. oreophila plant: Stigmasterol, quercetin, quercetin-3-rhamnoside, 2’, 4-dihydroxy, 4’-methoxy chalcone, and prenylated dihydrostilbene. Their interaction with a validated crystal structure of some P. falciparum drug targets was studied in silico.

Protein Structure Preparation

As previously stated, the crystal structures were sourced from the Protein Data Bank (PDB). Before the docking procedure, residues within 5.0 Å of the native ligands were analyzed. Using Chimera UCSF, we removed all crystallographic water molecules, ions, and bound ligands from the 3D structures obtained from the PDB (34). The processed receptor structures were then saved as rec.pdb files. AutoDock Tools (33) was utilized to modify the rec.pdb files by incorporating polar hydrogen atoms and Gastegier charges, and these modified files were subsequently saved in pdbqt format.

Ligand Structure Preparation

The 2D structures of the compounds DG1, DG2, DG3, DG4, and DG5 were created using ChemDraw Ultra 12. These 2D structures were then converted to 3D models using Spartan 04. Ligand protonation states were assigned at pH 7.4 (physiological conditions) using ChemAxon’s pKa plugin, ensuring accurate representation of ionizable groups (e.g., hydroxyl, carboxyl) during docking. Geometric optimization of the compounds was performed with the AM1 semi-empirical method in Spartan software, and the optimized 3D structures were saved as mol2 files. AutoDock Tools was employed to add hydrogen atoms and Gastegier charges to these mol2 files, which were then converted and saved in pdbqt format. While Vina’s scoring function neglects entropic penalties and solvent effects, its speed and reproducibility make it suitable for initial screening (27).

Molecular Docking Analysis

Before docking the test compounds, the docking procedure was validated for each protease enzyme by first removing the co-crystallized ligand from the enzyme crystal structure and re-docking it with the specified parameters. The validation was deemed successful if the re-docked ligand conformed closely to the geometrical arrangement of the original co-crystallized ligand in the active site (40). Before conducting molecular docking, the active sites were defined using the coordinates from the crystallographic structures of the enzymes by setting up the grid box (see Table S1). The optimal pose obtained was then used for subsequent analyses. UCSF Chimera was employed for post-docking visualization and for preparing the systems (ligands and receptors) for pre-MD evaluations.

["Table", "Table 1. The binding energies of the co-crystallized ligands and the five isolated compounds against P. falciparum targets.", "8pt", "2", "false"]

Results and Discussion

Grid Box

The configuration file (config.txt) was customized based on the grid box parameter, leading AutoDock Vina to produce results in pdbqt format. We utilized Chimera's View-Dock function to identify compounds with the best binding energy, optimal geometric conformations, and broad inhibitory activity against all enzymes under investigation. These compounds were then stored in complexes with the reference enzymes. The enzymes and the isolated compounds D1-DG5 (ligands) for each system were carefully prepared using Chimera, adhering to the procedures described by Pettersen and colleagues (34) (Table S2), which provides further details on the grid box parameter.

Validation of Docking Procedures

The docking procedures applied to the seven enzymes were well-validated, as shown in Table S3. All the co-crystallized ligands re-docked on their respective proteins, and are well superimposed on their original Protein Data Bank (PDB) structures.

Binding Energies of Co-crystallized Ligands and Isolated Compounds Against P. falciparum Targets

Binding affinities were interpreted relative to co-crystallized native ligands in each enzyme structure, with values exceeding these benchmarks suggesting more potent potential inhibition. The binding energies of the co-crystallized ligands and the five isolated compounds against protease enzymes are presented in Table 1 and Figure S1.

The molecular docking result obtained from this study demonstrated that the test compounds were found to interact with the residues at the active site and other sub-units regulating the specificity of the proteases. The test compounds have a better binding affinity within the binding pockets of falcipain-2, falcipain-3, PfCDPK2, PfDHFR, and SERA5 and which is evident that the binding process where principally favored by hydrogen bond, van der Waals and other hydrophobic interactions. To the binding interactions, the most contributing features of the ligands for receptor interactions are the carbonyl group, hydroxyl group, methyl group, methoxy, oxymethylene group, and the pentacyclic nucleus. Table 1 shows the binding affinities of the test compounds and the standard ligands.

The molecular docking analysis of compound DG1-DG5 (Lig1-Lig5) on falcipain-2 shows binding affinities ranging from -6.6 to -7.8 Kcal/mol, while it was -7.3 Kcal/mol for the native ligand (lig0). The molecular docking results demonstrated that the ligand (Lig1; DG1; -7.8 Kcal/mol) had a better binding affinity within the binding pocket of falcipain-2 than the native ligand (Lig0; native ligand; -7.3 Kcal/mol). From Table 1, the order of increasing binding affinity for the test compounds was -6.6<-6.9<-7.1<7.7<7.8 Kcal/mol (DG3<DG2<DG4<DG5<DG1). A lower free energy indicates a stronger interaction with a receptor. The in-silico study supported the mechanism of action of the isolated compounds to be related to the existence of a 6SSZ receptor that possesses a cysteine protease inhibitor of falcipain-2.

The molecular docking analysis of compound DG1-DG5 (Lig1-Lig5) on falcipain-3 shows docking affinities ranging from -6.6 to -8.2 Kcal/mol, while it was -6.4 Kcal/mol for the native ligand (lig0). The result obtained from the docking analysis demonstrated that the isolated compounds have the least free energy as compared to the native ligand (Lig0), thus resulting in better binding affinity within the binding pocket of falciapin-3 than the native ligand (Lig0). Compounds DG1 and DG5 had the highest binding affinity within the binding pocket of falcipains-3 as compared to other compounds. From Table 1, it was seen that the order of increasing binding energy with the various ligands is -8.2>7.6>6.8>6.6 Kcal/mol (DG1> DG5>DG4>DG3>DG2). The in-silico study suggested that the isolated compounds possess a cysteine protease inhibitor of falcipain-3, thereby disrupting the parasite’s ability to obtain nutrients and survive in the host.

The molecular docking analysis of compound DG1-DG5 (Lig1-Lig5) on PfDHFR-TS shows binding affinities ranging from -8.0 to -10.3 Kcal/mol, while it was -9.6 Kcal/mol for the native ligand (lig0). The molecular docking results demonstrated that the ligands (Lig1- Lig5; DG1-DG5) have better docking affinity within the binding pocket of PfDHFR-TS as compared to the native ligand with binding energy (Lig0; native ligand; -9.6 Kcal/mol). From Table 1, it was seen that the order of increasing binding energy with the various ligands is -10.3>-9.5>8.5>-8.2>-8.0 Kcal/mol (DG4>DG1>DG5>DG3>DG2). The in-silico study predicted that the target site of Lig1-Lig5 is in the gametocytogenesis as a PfDHFR protease inhibitor, which could lead to inhibition of merozoites as a drug target.

The molecular docking analysis of compound DG1-DG5 (Lig1-Lig5) shows docking affinities ranging from -5.4 to -6.6 Kcal/mol, while it was -4.1 Kcal/mol for the native Ligand (Lig0). The result obtained from the docking analysis demonstrated that the isolated compounds have better docking affinity within the binding pocket of SERA5 than the native ligand (Lig0). The lowest binding energy was observed with DG1 compared to other ligands. From Table 1, it was seen that the order of increasing binding energy with the various ligands is -6.6>6.0>-5.9>-5.8>-5.4 Kcal/mol (DG1>DG5>DG3>DG4>DG2). The in-silico study predicted that the target site of Lig1-Lig5 is in the parasitophorous vacuole as a SERA5 protease inhibitor, which could lead to inhibition of merozoites egress as a drug target.

The molecular docking analysis of compound DG1-DG5 (Lig1-Lig5) shows docking affinities ranging from -7.3 to -8.9 Kcal/mol, while it was -11.4 Kcal/mol for the native Ligand (Lig0). The result obtained from the docking analysis demonstrated that the isolated compounds have good docking affinity within the binding pocket of PfCDPK2. But it was seen that the native ligand (Lig0) had the lowest energy as compared to the isolated compounds, resulting in higher binding affinity than the test compounds. From Table 1, it["Figure", "https://etflin.com/file/figure/2025082403555493515041.png", "Figure 2. 3D molecular pose (left) and 2D (right) interactions of DG1 on the binding cavity of Falcipain-2 (A), Falcipain-3 (B), SERA5 (C), PfCDPK2 (D), and PfDHFR (E).", "", "100%", "1"]was seen that the order of increasing binding energy with the various ligands is -8.9>8.6>-8.3>-7.4>-7.3 Kcal/mol (DG1>DG4>DG5>DG3>DG2. The in-silico study suggests the mechanism of action of the isolated compounds to be through the existence of a 4MVF receptor that possesses a cyclin-dependent kinase inhibitor of PfCDPK2.

Additionally, the test ligands in all the plasmodium falciparum enzymes had a higher binding affinity than that of the native ligands except in plasmepsin I, II, and PfCDPK2 where the native ligands had a lower binding energy. This implies that the compound can vie with different proteases being investigated for the enzyme's cofactor binding site, ultimately resulting in the suppression of its activity.

Binding Poses and Binding Interactions Analysis of Isolated Compounds Against P. falciparum Enzymes

The binding conformation and interaction of isolated compounds with residues on the active site of the falcipain-2 falcipain-3, CDPK2, SERA5, and PfDHF-TS studied using Chimera (34) and Discovery Studio Suite (www.accelrys.com). Compounds with the lowest binding energy against each enzyme are shown in Figure 2, while other compounds' interactions are shown in (Figure S2-20).

Figures 2-6 depict the 3D and 2D representations illustrating the binding position and interaction analysis of the experimental compound within the active sites of falcipain 2 and 3, Plasmodium falciparum dihydrofolate reductase thymidylate synthase (PfDHFR-TS), Plasmodium falciparum calcium-dependent protein kinase 2 (PfCDPK2), and serine repeat antigen 5 (SERA5) using Chimera and Discovery Studio Suite. The test compounds were observed to occupy the binding site of the native ligand in the enzymes.

As observed from the molecular interactions of falcipain-2 with quercetrin (DG1), three hydrogen bonds were formed through the ortho-substituted hydroxy group of the aromatic ring and the hydroxy group of the rhamnose sugar moiety in the nucleus of the molecule with the enzyme target, including Asp18, Asn156 and Gln19 (OH) (Figure 2A; Table S4). Hydrophobic interactions were predicted between Falcipain-2 and quercetrin with residues Trp193, Val135, Asp137, Ser136, His157, Ala140, Ala25, Gly23,  Trp189^a, Lys20, which contributed to the binding affinity of the quercetrin molecule.

Quercetrin (DG1) molecule had four hydrogen bonds, which were formed through a hydroxy group of the ortho-substitution of the aromatic ring and pyranose sugar moiety with falcipain-3 at the active site with the enzymes including Asn87, Glu243, Cys51, and His183. Falcipain-3 has three catalytic triads: Cys51, His183, and Asn213. The amino acids Cys51 and His183 were seen to form hydrogen bond interaction which might be responsible for the inhibition of the parasite growth (Figure 2B; Table S5). Additionally, quercetrin was stabilized through hydrophobic interactions with amino acid residues, including Asn87, Gly92, Gly91, Tyr90, Gly49, Cys89, Ala184, Asn182, Ser158, Pro181, and Tyr93.

From the molecular interactions of quercetrin with serine repeat antigen-5, four hydrogen bonds were formed through the hydroxy group of the aromatic ring, the hydroxy group of the pyrone ring, and that of the sugar moiety hydroxy group with SERA5 at the active site, including Asp716, Glu570, Asn771, and Tyr804 (Figure 2C; Table S6). Additionally, quercetrin was stabilized through hydrophobic interactions with amino acid residues, including Ala717, Lys720, Val719, Lys569, Lys723, Lys779, Ser781, Lys780, and Tyr804.

Quercetrin formed six hydrogen bonds through an ortho-substituted hydroxy group of the phenyl ring, the hydroxy group of the rhamnose sugar moiety, and the carbonyl carbon of the pyrone ring with calcium-dependent protein kinase-2 at the active site, including Gln201 Gln96 Tyr133^a (2-bonds; OH) Leu97 Asn95 (Figure 2D; Table S7). Additionally, compound DG1 was stabilized through hydrophobic interactions with amino acid residues such as Ser150, Cys149, Leu148, Leu97^a, Glu147, Lys365, Tyr98, His366, and Ser202.

Stigmasterol formed one hydrogen bond with the hydroxyl group of the pentacyclic ring at a beta confirmation with the dihydrofolate reductase-thymidylate synthase, including Leu40 (Figure 2E; Table S8). Additionally, stigmasterol (DG4) was stabilized through hydrophobic interactions with amino acid residues Phe116, Ile112, Leu119, Pro113, Phe58^a (2-bonds), Ile164, Tyr170, Gly41, Gly166, Leu46, Ser108, Cys59, Arg122, and Met55.

The discovery of multiple robust bonds formed between the test compounds and the enzymes examined has significantly bolstered the stability of the resulting complexes, thereby elevating the overall binding affinity. This investigation has unveiled compelling evidence showcasing the test compounds' ability to engage actively with key amino acid residues within diverse receptor types. These findings strongly suggest that the compound holds promise in altering the active sites of enzymes associated with Plasmodium falciparum, potentially impeding their binding. Such interference could lead to the inhibition of these malaria-related enzymes, disrupting their standard functionality. An intriguing aspect of the compound lies in its consistent structural elements, notably the presence of ortho hydroxyl, carbonyl carbon, methoxy group, and an oxymethylene side chain attached to the molecular nucleus. These features are believed to confer the compound with the capacity to effectively inhibit the enzymes of Plasmodium falciparum that were under scrutiny. Noteworthy from the docking simulations are the hydrogen bonds evident in the protein-ligand complexes (as depicted in Figure 2), known to play crucial roles in facilitating protein-ligand interactions. These bonds, along with other interactions like van der Waals forces and electrostatic charges, underscore the high-quality docking and stability observed in this study. Of particular interest is the carbonyl carbon's involvement in hydrogen bonding within the active site, a factor believed to enhance solubility. Furthermore, the presence of various interactions, including van der Waals forces and electrostatic charges, serves as an indicator of robust docking quality and complex stability. The substantial side chain in compound DG2 appears to be more advantageous than smaller side chain groups in ligand-protein interactions, aligning with insights from structure-activity relationships (SARs) (9, 52).

All compounds (DG1-DG5) were previously screened for drug-likeness and ADMET properties (27), demonstrating compliance with Lipinski’s rules (MW<500, LogP≤ 5) and low toxicity risks (ProTox-II).

Conclusion

This study evaluated five metabolites, quercetin (DG1), quercetrin (DG2), dihydrostilbene (DG3), 4′-methoxy-isoliquiritigenin (DG4), and stigmasterol (DG5), from Globimetula oreophila as potential antimalarial agents. Using in silico molecular docking, the compounds were tested against key Plasmodium falciparum enzymes: falcipain-2, falcipain-3, SERA5, PfDHFR-TS, and PfCDPK2. Docking results showed strong binding affinities, with DG1 and DG4 emerging as the most promising multi-target candidates (binding energies ≤ –7.5 kcal/mol). Structural features such as ortho-hydroxyl, methoxy, prenyl, and β-hydroxy groups, along with the triterpene skeleton, contributed to stable interactions with catalytic residues (e.g., Tyr77 in falcipain-2, Asp214 in PfDHFR-TS). These findings highlight the compounds’ potential as multi-target inhibitors, though further structure–activity relationship and in vitro studies are needed for confirmation.