Skip to main content
ACS Omega logoLink to ACS Omega
. 2025 Jul 10;10(28):31147–31152. doi: 10.1021/acsomega.5c05130

Phenotypic Screening of the MMV Global Health Priority Box Identifies Selective Compounds with Anti-Toxoplasma gondii Activity

Gabriel Candido Moura 1, Juliana Quero Reimão 1,*
PMCID: PMC12290687  PMID: 40727823

Abstract

Toxoplasmosis remains a globally significant parasitic disease, with limited treatment options and reports of drug intolerance and inadequate efficacy, particularly against chronic stages. This study aimed to identify novel anti-Toxoplasma gondii compounds through the phenotypic screening of the Medicines for Malaria Venture (MMV) Global Health Priority Box (GHPB), a curated library of 240 chemically diverse molecules. Parasite viability and host cell cytotoxicity assays identified six lead compounds with the selectivity index (SI) exceeding 100, with MMV689404 (Triflumuron), MMV1794214 (Vaniliprole), and MMV1794211 showing SI >103, > 756, and >1000, respectively. In silico ADMET profiling revealed favorable pharmacokinetic and toxicity parameters for most hits, although Vaniliprole showed suboptimal gastrointestinal absorption and potential tumorigenicity. Comparative analysis with the existing literature confirmed previously reported antiparasitic activity for several compounds, reinforcing their relevance for repurposing. These findings highlight the potential of GHPB as a source of candidate molecules for further preclinical evaluation against toxoplasmosis.


graphic file with name ao5c05130_0006.jpg


graphic file with name ao5c05130_0004.jpg

Introduction

Toxoplasmosis is a globally prevalent zoonotic infection caused by the protozoan parasite Toxoplasma gondii, affecting nearly one-third of the world’s population. While most immunocompetent individuals experience asymptomatic or mild disease, the parasite poses serious health risks to immunocompromised individualssuch as patients with AIDS or undergoing immunosuppressive therapiesand to pregnant women, in whom congenital transmission can result in miscarriage, stillbirth, or severe neurological sequelae in the fetus. Despite the global burden and clinical relevance, therapeutic options for toxoplasmosis have remained largely unchanged for decades.

Current first-line treatments, typically based on the combination of pyrimethamine and sulfadiazine, are associated with significant drawbacks, including bone marrow suppression, hypersensitivity reactions, and poor activity against the latent bradyzoite stage. Moreover, growing concerns over drug tolerance and suboptimal parasite clearance emphasize the urgent need for new, safer, and more effective treatment alternatives.

In this context, drug repurposing has emerged as a promising approach, offering the advantage of accelerating therapeutic discovery by evaluating compounds with known safety and pharmacological profiles. One particularly valuable resource is the Global Health Priority Box (GHPB), assembled by the Medicines for Malaria Venture (MMV). This curated collection comprises 240 chemically diverse compounds with established bioactivity against malaria and other neglected pathogens, yet their potential against T. gondii remains unexplored.

In this study, we conducted a phenotypic screening of the GHPB library to identify compounds with anti-T. gondii activity. Our aim was to prioritize candidates with favorable selectivity indices and pharmacokinetic properties for further preclinical development, contributing to the discovery of novel chemotherapeutic options for toxoplasmosis.

Results

A primary screening of 240 compounds from the Global Health Priority Box (GHPB) library was performed at a fixed concentration of 1 μM with a 72 h incubation period. Compounds were considered active if they inhibited T. gondii growth by ≥80% under these conditions.

This screening identified 30 active compounds: 6 from the VEC subset, 10 from MB2, and 14 from ZND (Figure ). These hits were selected for further characterization, including the determination of their EC50 in intracellular T. gondii tachyzoites, CC50 in human foreskin fibroblasts (HFF), and selectivity index (SI = CC50/EC50). Pyrimethamine, a standard drug used to treat toxoplasmosis, was included as a reference.

1.

1

Screening of 240 compounds of the GHPB collection in fixed 1 μM concentration against T. gondii proliferation.

Potency and Selectivity

EC50 values of the selected compounds ranged from 0.01 to 0.90 μM, indicating a wide spectrum of anti-T. gondii potency. CC50 values ranged from 0.38 to >50 μM, the highest concentration tested. Selectivity indices varied considerably among the compounds, from <1 to >1000 (Table ).

1. EC50, CC50, and SI of the GHPB Compounds .

GHPB plate compound ID EC50 (μM) ± SD CC50 (μM) ± SD SI
VEC MMV1794214 0.07 ± 0.04 >50 >756
MMV1794211 0.01 ± 0.01 >10 >1000
MMV689404 0.49 ± 0.03 >50 >103
MMV027339 0.50 ± 0.02 5.51 ± 0.86 11
MMV1577471 0.51 ± 0.01 4.62 ± 1.95 9
MMV1634081 0.52 ± 0.01 30.83 ± 4.55 59
MB2 MMV1841740 0.90 ± 0.12 6.47 ± 0.76 7
MMV006187 0.51 ± 0.12 >50 >98
MMV006430 0.30 ± 0.03 >50 >167
MMV024638 0.50 ± 0.04 4.98 ± 0.90 10
MMV674132 0.19 ± 0.04 >50 >265
MMV1267536 0.19 ± 0.03 29.20 ± 2.79 154
MMV1266067 0.73 ± 0.13 >50 >68
MMV019421 0.62 ± 0.15 30.39 ± 10.32 49
MMV1435700 0.34 ± 0.08 20.00 ± 3.80 59
MMV024825 0.62 ± 0.08 22.24 ± 0.17 36
MMV1103183 0.72 ± 0.39 >50 >70
ZND MMV1795508 0.59 ± 0.15 6.80 ± 0.46 11
MMV692115 0.56 ± 0.08 3.38 ± 0.06 6
MMV1593278 0.21 ± 0.09 6.36 ± 0.22 30
MMV1828776 0.24 ± 0.13 2.77 ± 0.78 11
MMV1828058 0.10 ± 0.08 2.43 ± 0.2 25
MMV1828026 0.74 ± 0.12 1.33 ± 0.36 2
MMV884814 0.76 ± 0.06 4.10 ± 1.18 5
MMV1545678 0.81 ± 0.15 6.47 ± 0.14 8
MMV692630 0.72 ± 0.03 10.99 ± 0.54 15
MMV689635 0.61 ± 0.04 >50 >81
MMV689463 0.83 ± 0.21 2.66 ± 0.95 3
MMV1848726 0.63 ± 0.12 0.38 ± 0.26 0.6
MMV688723 0.73 ± 0.09 >50 >68
external control Pyrimethamine 0.38 ± 0.03 >50 >131
a

EC50: Half effective concentration against T. gondii intracellular tachyzoites; CC50: Half cytotoxic concentration against HFF; SI: Selectivity index; SD: Standard deviation. Results obtained from duplicates in three independent experiments.

b

According to Tali et al. in VERO/RAW cells.

Six compounds showed particularly high selectivity (SI > 100): MMV1794211 (SI > 1,000), MMV1794214 (SI > 756), MMV674132 (SI > 265), MMV1267536 (SI = 154), MMV006430 (SI > 167), and MMV689404 (SI > 103). The chemical structures of these compounds are shown in Figure .

2.

2

Chemical structure of compounds with SI > 100.

On the other hand, several compounds such as MMV1828026 and MMV1848726 presented low SI values (2 and 0.6, respectively), indicating high toxicity relative to antiparasitic activity. Pyrimethamine showed an EC50 of 0.38 μM and an SI > 131, serving as a useful benchmark.

ADMET Profile

To assess drug-likeness and predict potential safety issues, the 30 active compounds were subjected to in silico ADMET profiling, including predictions of gastrointestinal (GI) absorption, blood–brain barrier (BBB) permeability, and toxicity risks (Table ).

2. Results of ADMET Predictions of the Selected Compounds from GHPB ,

  compound ID molecular formula GI BBB mutagenic risk tumorigenic risk irritant risk reproductive effect risk
VEC MMV1794214 C20H10Cl2F6N4O2S low no no medium no no
MMV1794211 C25H28N2O4 high yes no high medium high
MMV689404 C15H10ClF3N2O3 high no no no no no
MMV027339 C15H8Cl2F6N2O low no no no no no
MMV1577471 C25H24F6N4 low no no no no no
MMV1634081 C13H11Cl2N3O4 high no no no no high
MB2 MMV1841740 C20H18F3N5 high no no no no no
MMV006187 C24H20FN3OS low no no no no no
MMV006430 C27H28N4O5S high no no no no No
MMV024638 C23H20FN3 high yes no no no no
MMV674132 C22H23N3O4S2 high no no no no no
MMV1267536 C18H17N5O3S high no no no no no
MMV1266067 C16H14N4O2 high no no no no no
MMV019421 C26H28ClN5O2S high no no no high no
MMV1435700 C18H17N3O4S2 low no no no no no
MMV024825 C25H26F2N4O high yes no no no no
MMV1103183 C15H16N4O3 high no no no no no
ZND MMV1795508 C17H15ClF3N5 high no no no no no
MMV692115 C21H21Cl2N5O high yes no no no no
MMV1593278 C18H25FN4 high yes no no no no
MMV1828776 C23H25N5O high yes no no no no
MMV1828058 C26H30FN5O high no no no no no
MMV1828026 C26H26N6O2 high no high high no no
MMV884814 C24H23ClF3N5O high no no no no no
MMV1545678 C21H24Cl2N6 high no no no no no
MMV692630 C21H16ClF3N4O2 high no no no no no
MMV689635 C23H19ClN6O2 high no no no no no
MMV689463 C23H24ClN5O high yes no no medium no
MMV1848726 C19H17N5O2 high no no no no no
MMV688723 C21H19ClN4O3S high no no no no no
pyrimethamine C12H13ClN4 high yes high high no high
a

GI: gastrointestinal absorption.

b

BBB: blood–brain barrier permeability.

Most compounds (25/30) were predicted to have high GI absorption. Five compounds, MMV1794214, MMV027339, MMV1577471, MMV006187, and MMV1435700, showed low predicted GI absorption, which may impact oral bioavailability.

Only seven compounds were predicted to cross the BBB, including MMV1794211, MMV024638, MMV024825, MMV692115, MMV1593278, MMV1828776, and MMV689463. This may be advantageous for the potential treatment of cerebral toxoplasmosis.

Most compounds showed low predicted toxicity, but six were flagged for potential safety concerns: MMV1794211, MMV1794214, MMV1634081, MMV019421, MMV1828026, and MMV689463.

Interestingly, despite the highlighted risks in some candidates, pyrimethamine itself was predicted to have high mutagenic, tumorigenic, and reproductive toxicity risks, underscoring the unmet need for safer alternatives.

To better visualize the relationship between compound potency and selectivity, a scatter plot was generated comparing EC50 and SI for the six most selective compounds (SI > 100). Each compound was color-coded according to its predicted ADMET-related toxicological risks, including mutagenicity, tumorigenicity, irritancy, and reproductive effects. This visualization (Figure ) highlights the most promising candidates based on their pharmacological profiles and simultaneously flags compounds with potential safety concerns. Notably, several compounds with SI > 100 also exhibit favorable ADMET predictions (e.g., MMV674132 and MMV1267536), whereas others, such as Vaniliprole, despite high SI, raise concerns due to predicted tumorigenic risk.

3.

3

Correlation between anti-T. gondii in vitro activity (EC50) and the selectivity index (SI) for the six most selective compounds (SI > 100). Colors indicate predicted toxicological risks: green = no major risks; orange = moderate risk in at least one category; and red = high or multiple predicted risks. Square indicates the predicted blood–brain barrier (BBB) permeability, while circles indicate no predicted BBB permeability.

Discussion

Previous screenings of the GHPB library have demonstrated bioactivity against fungi, including Candida auris and Madurella mycetomatis; , protozoa such as Plasmodium falciparum, Plasmodium berghei, Leishmania amazonensis, Trypanosoma cruzi, and Naegleria fowleri; helminths such as Hemonchus contortus; and SARS-CoV-2. Nevertheless, its efficacy against T. gondii remains unexplored, presenting a critical gap in the discovery of novel therapies targeting toxoplasmosis.

Screening of the GHPB library identified 30 promising compounds that were subjected to additional in vitro assays. To contextualize these findings, we analyzed compound in vitro activity using EC50 against the selectivity index (SI) of the most selective compounds (SI > 100). Among these, Vaniliprole (MMV1794214) stood out with an SI > 756 and potent activity (EC50 = 0.07 μM), but its predicted ADMET profile suggests potential tumorigenic effects and low gastrointestinal (GI) absorption, reducing its suitability as a drug lead despite promising in vitro data.

A particularly notable finding emerged with MMV1794211, for which cytotoxicity could not be determined under our experimental conditions, even after repeated assays. Given this limitation, we adopted the CC50 value >10 μM reported by Tali et al., which, combined with its observed antiparasitic activity (EC50 = 0.01 μM), results in a calculated SI > 1000. This extraordinarily high selectivity places MMV1794211 among the top candidates in the library. Despite the absence of reliable in-house cytotoxicity data, its lack of predicted ADMET toxicological risks, coupled with its exceptional SI, strongly supports its prioritization for further evaluation. Future studies will be necessary to clarify its safety profile and determine its mechanism of action.

In contrast, compounds MMV006430, MMV674132, and MMV1267536 from the MB2 plate combine high SI values (>167, >265, and 154, respectively) with favorable ADMET predictions (high GI absorption, no toxicity alerts), making them strong candidates for further development. Notably, MMV674132 and MMV1267536 have also shown activity against Plasmodium liver stages, indicating potential for dual antiparasitic applications. In addition, MMV006430 and MMV674132 have been experimentally characterized as fast-acting compounds against P. falciparum ring stages, showing activity under 65 h.

Our findings for Vaniliprole (MMV1794214) align with previous reports of its antiparasitic potential. Shanley et al. (2024) demonstrated that this compound impairs motility and larval development in H. contortus, highlighting its anthelmintic efficacy. In our study, Vaniliprole also showed potent activity against T. gondii (EC50 = 0.07 μM) and an exceptionally high SI (>756), supporting its broad antiparasitic potential.

Similarly, our data for Triflumuron (MMV689404) corroborate some aspects of its known pharmacological profile. We observed an SI > 100 and favorable in silico ADMET parameters, including high GI absorption and low toxicity prediction. However, Timoumi et al. reported CC50 values of 120 μM and 200 μM in HepG2 and HEK293 cell lines, respectively, and subsequent in vivo studies showed hepatotoxicity and oxidative stress at doses of 350–500 mg/kg (Timoumi et al.,). These toxicological findings, which contrast with our predictive data and in vitro results, underscore the importance of integrating in vivo toxicity data early in the candidate selection process, particularly for compounds with prior regulatory or pesticidal usage.

While no compounds from the ZND plate exceeded SI > 100, this may reflect methodological limitations, as CC50 values were capped at 50 μM, potentially underestimating actual selectivity. Indeed, several ZND compounds cluster near the high-potency, moderate-selectivity region, suggesting that they warrant further cytotoxicity profiling using expanded concentration ranges.

The integrated analysis reveals that selectivity alone is insufficient for prioritization; compounds must also exhibit an acceptable predicted safety. This is exemplified by MMV1828026, a ZND compound with reasonable potency (EC50 = 0.74 μM) but a predicted high mutagenic and tumorigenic risk, rendering it unsuitable despite initial interest.

In summary, the visual synthesis of potency, selectivity, and safety predictions enabled the rational prioritization of lead-like compounds. MMV1794211, MMV674132, and MMV1267536 emerge as especially promising based on their combined potency, selectivity, and predicted safety profiles, warranting further evaluation through mechanism-of-action studies and in vivo models.

Conclusions

This study screened compounds from the GHPB library and identified several candidates with potent anti-T. gondii activity and favorable selectivity profiles. Notably, six compounds (MMV1794211, MMV1794214, MMV674132, MMV1267536, MMV006430, and MMV689404) exhibited SI values greater than 100. While Vaniliprole and Triflumuron stood out for their strong efficacy, their translational potential is limited by ADMET concerns and previously reported in vivo toxicity. In contrast, compounds from the MB2 plate, such as MMV674132 and MMV1267536, combined promising efficacy with more favorable in silico safety profiles, warranting further investigation. Collectively, our findings underscore the potential of the GHPB library as a valuable resource for the discovery of new anti-T. gondii agents and lay the groundwork for future studies aimed at confirming efficacy, elucidating mechanisms of action, and evaluating in vivo efficacy and safety.

Methods

Drugs and Chemicals

All chemicals and reagents were obtained from Thermo Fisher Scientific (Leicestershire, U.K.). The Global Health Priority Box (GHPB) library (240 compounds) was generously provided by the Medicines for Malaria Venture (MMV, Geneva, Switzerland). The library consists of three distinct 80-compound subsets: the first plate is notable for containing compounds with reported activity against various disease vectors (VEC), the second plate comprises drugs demonstrating confirmed efficacy against resistant malaria (MB2), while the third plate contains a library of compounds previously screened against neglected zoonotic diseases (ZND). Stock solutions (10 mM in DMSO) were prepared under sterile conditions and stored at – 20 °C.

Parasite and Host Cell Culture

Toxoplasma gondii RH-2F1 tachyzoites, which express β-galactosidase, were maintained in human foreskin fibroblasts (HFFs). HFFs were cultured in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 2 mM l-glutamine, and 40 μg/mL gentamicin (referred to as D10) and incubated at 37 °C in a 5% CO2 humidified atmosphere. For infection assays, confluent monolayers were maintained in DMEM with 2% FBS (D2) prior to parasite inoculation.

For in vitro assays in 96-well plates, HFFs were seeded at 5 × 103 cells/well in the D10 medium and incubated for 12–16 h to allow adherence. For cytotoxicity (CC50) evaluation, cells were treated with test compounds in serial dilutions ranging from 50 to 0.78 μM for 72 h. For antiparasitic assays, HFFs were infected with RH-2F1 tachyzoites at a multiplicity of infection (MOI) of 1:1 for 3 h. After infection, compounds were added either at a fixed concentration (1 μM for screening) or in serial dilutions (1 to 0.008 μM for EC50 determination), followed by 72 h incubation under standard conditions.

β-Galactosidase Quantification

Parasite proliferation was assessed by quantifying β-galactosidase activity, as previously described. Briefly, after the 72 h incubation, cells were lysed in 100 μL of lysis buffer (100 mM HEPES pH 7.5, 1 mM MgSO4, 0.1% Triton X-100, 5 mM DTT) for 15 min at room temperature. Subsequently, 160 μL of assay buffer (100 mM sodium phosphate, pH 7.3, 102 mM β-mercaptoethanol, 9 mM MgCl2) and 40 μL of CPRG substrate (6.25 mM) were added to each well. Following a 30 min incubation at 37 °C, absorbance was measured at 570 nm using a Varioskan LUX microplate reader (Thermo Scientific). Each assay included viability controls (untreated infected cells), solvent controls (1% DMSO), a positive control (1 μM pyrimethamine), and experimental blanks (no cells). All conditions were tested in two biological replicates in three independent experiments.

GHPB Library Screening

Compounds from the GHPB library were screened at a final concentration of 1 μM in infected HFF monolayers, using the β-galactosidase assay as a readout for parasite viability after 72 h. Compounds exhibiting ≥80% inhibition of parasite proliferation were selected for further evaluation in dose–response assays to determine the EC50 and CC50 values.

Cytotoxicity Assay (Resazurin Reduction)

The resazurin assay was used to evaluate the compound cytotoxicity in uninfected HFFs. Following 72 h treatment, 100 μM resazurin was added to each well and incubated for 4 h at 37 °C. Fluorescence was measured using excitation/emission wavelengths of 565/590 nm. Controls included untreated cells (viability control), 1% DMSO (solvent control), 50 μM pyrimethamine (reference drug), and blank wells (no cells). Each condition was tested in duplicate in three independent experiments.

In Silico ADMET Analysis

ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of selected hits were predicted using SwissADME (http://www.swissadme.ch) and OSIRIS Property Explorer. The evaluated parameters included gastrointestinal (GI) absorption, blood–brain barrier (BBB) permeability, and predicted toxicity (mutagenicity, tumorigenicity, irritation, and reproductive effects).

Acknowledgments

The authors thank Medicines for Malaria Venture for providing the GHPB library.

Glossary

Abbreviations

GHPB

global health priority box

MMV

medicines for malaria venture

VEC

various disease vectors plate

MB2

resistant malaria plate

ZND

neglected zoonotic diseases plate

HFF

human foreskin fibroblast

DMEM

Dulbecco’s modified eagle medium

FBS

fetal bovine serum

CC50

half cytotoxicity concentration

EC50

half effective concentration

MOI

multiplicity of infection

ADMET

absorption, distribution, metabolism, excretion and toxicity

GI

gastrointestinal

BBB

blood–brain barrier

SI

selectivity index

G.C.M.: project investigation, formal analysis, writingoriginal draft. J.Q.R.: writingreview and editing, supervision, funding acquisition.

This research received financial support from the São Paulo Research Foundation (FAPESP) (Grant Numbers 2018/18954–4 and 2020/03399–5) to J.Q.R. G.C.M. received a scholarship from FAPESP (2023/18327–8).

The Article Processing Charge for the publication of this research was funded by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Brazil (ROR identifier: 00x0ma614).

The authors declare no competing financial interest.

References

  1. Martinez V. O., de Mendonça Lima F. W., De Carvalho C. F., Menezes-Filho J. A.. Toxoplasma gondii infection and behavioral outcomes in humans: a systematic review. Parasitol. Res. 2018;117:3059–3065. doi: 10.1007/s00436-018-6040-2. [DOI] [PubMed] [Google Scholar]
  2. Saadatnia G., Golkar M.. A review on human toxoplasmosis. Scand. J. Infect. Dis. 2012;44:805–814. doi: 10.3109/00365548.2012.693197. [DOI] [PubMed] [Google Scholar]
  3. Konstantinovic N., Guegan H., Stäjner T., Belaz S., Robert-Gangneux F.. Treatment of toxoplasmosis: Current options and future perspectives. Food Waterborne Parasitol. 2019;15:e00036. doi: 10.1016/j.fawpar.2019.e00036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Adam A., Besson D., Bryant R., Rees S., Willis P. A., Burrows J. N., van Huisjduijnen R. H., Laleu B., Norton L., Canan S.. et al. Global Health Priority Box–Proactive Pandemic Preparedness. ACS Infect. Dis. 2024;10:4030–4039. doi: 10.1021/acsinfecdis.4c00700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Tali, T. ; Brice, M. ; Dize, D. ; Kamache, A. Y. ; Kamdem, B. P. ; Hassan, S. ; Ngansop, C. A. N. ; Fokou, P. V. T. ; Laleu, B. ; Duffy, J. ; Boyom, F. . Discovery of a Picomolar Antiplasmodial Pyrazole Derivative from a Broad Antiparasitic Screening of Compounds from the MMV Open Access Global Health Priority Box. VeriXiv 2024; Vol. 1, 15 10.12688/verixiv.197.1. [DOI] [Google Scholar]
  6. Retore Y. I., Lucini F., Pimentel L. R., Oliveira H. C., Simionatto S., Rossato L.. Screening of the global health priority Box reveals potential new disinfectants against the emerging multidrug-resistant pathogen Candida auris . Microb. Pathog. 2024;194:106828. doi: 10.1016/j.micpath.2024.106828. [DOI] [PubMed] [Google Scholar]
  7. Ma J., Eadie K., Schippers M., Fahal A., Laleu B., Verbon A., van de Sande W. W. J.. Novel compound MMV1804559 from the global health priority box exhibits in vitro and in vivo activity against Madurella mycetomatis . Int. J. Mol. Sci. 2024;25:6227. doi: 10.3390/ijms25116227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Nguyen G.-B., Cooper C. A., McWhorter O., Sharma R., Elliot A., Ruberto A., Freitas R., Pathak A. K., Kyle D. E., Maher S. P.. Screening the Global Health Priority Box against Plasmodium berghei liver stage parasites using an inexpensive luciferase detection protocol. Malar. J. 2024;23:357. doi: 10.1186/s12936-024-05155-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bethencourt-Estrella C. J., López-Arencibia A., Lorenzo-Morales J., Piñero J. E.. Global Health Priority Box: Discovering flucofuron as a promising antikinetoplastid compound. Pharmaceuticals. 2024;17:554. doi: 10.3390/ph17050554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chao-Pellicer J., Arberas-Jiménez I., Sifaoui I., Piñero J. E., Lorenzo-Morales J.. Flucofuron as a Promising Therapeutic Agent against Brain-Eating Amoeba. ACS Infect. Dis. 2024;10:2063–2073. doi: 10.1021/acsinfecdis.4c00062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Shanley H. T., Taki A. C., Byrne J. J., Nguyen N., Wells T. N. C., Jabbar A., Sleebs B. E., Gasser R. B.. A phenotypic screen of the Global Health Priority Box identifies an insecticide with anthelmintic activity. Parasites Vectors. 2024;17:131. doi: 10.1186/s13071-024-06183-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Madani A., Alvarez N., Park S., Murugan M., Perlin D. S.. Rapid luminescence-based screening method for SARS-CoV-2 inhibitors discovery. SLAS Discovery. 2025;31:100211. doi: 10.1016/j.slasd.2025.100211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Duffy S., Sleebs B. E., Avery V. M.. An adaptable, fit-for-purpose screening approach with high-throughput capability to determine speed of action and stage specificity of anti-malarial compounds. Antimicrob. Agents Chemother. 2024;68:e0074624. doi: 10.1128/aac.00746-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Timoumi R., Amara I., Salem I. B., Abid-Essefi S.. Triflumuron induces cytotoxic effects on hepatic and renal human cell lines. J. Biochem. Mol. Toxicol. 2020;34:e22504. doi: 10.1002/jbt.22504. [DOI] [PubMed] [Google Scholar]
  15. Timoumi R., Amara I., Neffati F., Najjar M. F., Golli-Bennour E., Bacha H., Adib-Essefi S.. Acute triflumuron exposure induces oxidative stress responses in liver and kidney of Balb/C mice. Environ. Sci. Pollut. Res. 2019;26:3723–3730. doi: 10.1007/s11356-018-3908-8. [DOI] [PubMed] [Google Scholar]
  16. Dos Santos B. R., Ramos A. B. S. B., de Menezes R. P. B., Scotti M. T., Colombo F. A., Marques M. J., Reimão J. Q.. Repurposing the Medicines for Malaria Venture’s COVID Box to discover potent inhibitors of Toxoplasma gondii, and in vivo efficacy evaluation of almitrine bismesylate (MMV1804175) in chronically infected mice. PLoS One. 2023;18:e0288335. doi: 10.1371/journal.pone.0288335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Daina A., Michielin O., Zoete V.. SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Sci. Rep. 2017;7:42717. doi: 10.1038/srep42717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Sander T., Freyss J., von Korff M., Reich J. R., Rufener C.. OSIRIS, an entirely in-house developed drug discovery informatics system. J. Chem. Inf. Model. 2009;49:232–246. doi: 10.1021/ci800305f. [DOI] [PubMed] [Google Scholar]

Articles from ACS Omega are provided here courtesy of American Chemical Society

RESOURCES