PreprintCited by 0Malaria Research and ControlPhytochemical compounds biological activitiesInsect Resistance and Genetics

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mechanistic Insights into Dual-Active Liver and Blood-Stage Antiplasmodials

Open access

Preprint — published as 10.1128/mbio.02423-25

Abstract

The identification of novel antimalarials with activity against both the liver and blood stages of the parasite lifecycle would have the dual benefit of prophylactic and curative potential. However, one challenge of leveraging chemical hits from phenotypic screens is subsequent target identification. Here, we use in vitro evolution of resistance to investigate nine compounds from the Tres Cantos Antimalarial Set (TCAMS) with dual liver and asexual blood stage activity. We succeeded in eliciting resistance to four compounds, yielding mutations in acetyl CoA synthetase (AcAS), cytoplasmic isoleucine tRNA synthetase (cIRS), and protein kinase G (PKG) respectively. Using a combination of CRISPR editing and in vitro activity assays with recombinant proteins, we validate these as targets for TCMDC-125075 (AcAS), TCMDC-124602 (cIRS), and TCMDC-141334 and TCDMC-140674 (PKG). Notably, for the latter two compounds, we obtained a T618I mutation in the gatekeeper residue of PKG, consistent with direct interaction with the active site, which we modelled with molecular docking. Finally, we performed cross-resistance evaluation of the remaining five resistance-refractory compounds using the Antimalarial Resistome Barcode sequencing assay (AReBar), which examined a pool of 52 barcoded lines with mutations covering >30 common modes of action. None of the five compounds where in vitro evolution of resistance was not successful yielded validated hits using AReBar, indicating they likely act via novel mechanisms and may be candidates for further exploration.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2025.08.06.666330

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 51

  1. 2007, Defining and defeating the intolerable burden of malaria III. Progress and perspectives, The American Journal of Tropical Medicine and Hygiene, 77, iii, 10.4269/ajtmh.2007.77.iii · DOI
  2. 10.1056/NEJMc0805011 · DOI
  3. 10.1056/NEJMoa0808859 · DOI · Paper page
  4. 10.1016/S1473-3099(24)00141-5 · DOI
  5. 2024, Artemisinin-resistant malaria, Clinical Microbiology Reviews, 37, e00109
  6. 2024, Triple artemisinin-based combination therapy (TACT): advancing malaria control and eradication efforts, Malaria Journal, 23, 25, 10.1186/s12936-024-04844-y · DOI
  7. 2023, Preventing antimalarial drug resistance with triple artemisinin-based combination therapies, Nature communications, 14, 4568, 10.1038/s41467-023-39914-3 · DOI
  8. 10.1126/science.aat9446 · DOI
  9. 2023, Assessment of the drugability of initial malaria infection through miniaturized sporozoite assays and high-throughput screening, Communications Biology, 6, 216, 10.1038/s42003-023-04599-3 · DOI
  10. 2018, A comprehensive model for assessment of liver stage therapies targeting Plasmodium vivax and Plasmodium falciparum, Nature communications, 9, 1837, 10.1038/s41467-018-04221-9 · DOI
  11. 10.1016/j.pt.2022.01.011 · DOI
  12. 10.1038/nature09107 · DOI
  13. 10.1128/AAC.02110-15 · DOI
  14. 2018, Using in vitro evolution and whole genome analysis to discover next generation targets for antimalarial drug discovery, ACS infectious diseases, 4, 301, 10.1021/acsinfecdis.7b00276 · DOI
  15. 2023, Generation of a mutator parasite to drive resistome discovery in Plasmodium falciparum, Nature Communications, 14, 3059, 10.1038/s41467-023-38774-1 · DOI
  16. 2022, Chemogenomics identifies acetyl-coenzyme A synthetase as a target for malaria treatment and prevention, Cell chemical biology, 29, 191, 10.1016/j.chembiol.2021.07.010 · DOI
  17. 10.1126/scitranslmed.adc9249 · DOI
  18. 10.1073/pnas.1011560108 · DOI
  19. 10.1007/s00018-010-0434-3 · DOI
  20. Yan, Y. , et al., Mapping Plasmodium transitions and interactions in the Anopheles female. bioRxiv, 2024: p. 2024.11. 12.623125. · DOI
  21. 10.1111/j.1365-2958.2006.05189.x · DOI
  22. 10.1371/journal.pbio.1001806 · DOI
  23. 2018, Epistasis studies reveal redundancy among calcium-dependent protein kinases in motility and invasion of malaria parasites, Nature communications, 9, 4248, 10.1038/s41467-018-06733-w · DOI
  24. 2022, Barcoding genetically distinct Plasmodium falciparum strains for comparative assessment of fitness and antimalarial drug resistance, Mbio, 13, e00937
  25. 2024, A novel 4-aminoquinoline chemotype with multistage antimalarial activity and lack of cross-resistance with PfCRT and PfMDR1 mutants, PLoS Pathogens, 20, e1012627, 10.1371/journal.ppat.1012627 · DOI
  26. 2021, Plasmodium falciparum Acetyl-CoA Synthetase is essential for parasite intraerythrocytic development and chromatin modification, ACS Infectious Diseases, 7, 3224, 10.1021/acsinfecdis.1c00414 · DOI
  27. 10.1186/s12936-018-2635-4 · DOI
  28. 2021, Plasmodium falciparum cGMP-dependent protein kinase–A novel chemotherapeutic target, Frontiers in microbiology, 11, 610408, 10.3389/fmicb.2020.610408 · DOI
  29. 10.1016/j.micinf.2012.04.011 · DOI
  30. 10.1073/pnas.1905558116 · DOI
  31. 10.1046/j.1365-2958.2002.02948.x · DOI
  32. 2020, Inhibition of resistance-refractory P. falciparum kinase PKG delivers prophylactic, blood stage, and transmission-blocking antiplasmodial activity, Cell chemical biology, 27, 806, 10.1016/j.chembiol.2020.04.001 · DOI
  33. 2017, A potent series targeting the malarial cGMP-dependent protein kinase clears infection and blocks transmission, Nature communications, 8, 430, 10.1038/s41467-017-00572-x · DOI
  34. 2019, High-throughput screening of the Plasmodium falciparum cGMP-dependent protein kinase identified a thiazole scaffold which kills erythrocytic and sexual stage parasites, Scientific reports, 9, 7005, 10.1038/s41598-019-42801-x · DOI
  35. 10.7554/eLife.66277 · DOI
  36. 10.1371/journal.pone.0154166 · DOI
  37. 10.1126/science.1260867 · DOI
  38. 10.1111/j.1550-7408.1983.tb02932.x · DOI
  39. 10.1093/nar/gkn814 · DOI
  40. 10.1093/nar/29.1.66 · DOI
  41. Corso, G. , et al., Diffdock: Diffusion steps, twists, and turns for molecular docking. arXiv preprint arXiv:2210.01776, 2022. · arXiv
  42. Durairaj, J. , et al., PLINDER: The protein-ligand interactions dataset and evaluation resource. bioRxiv, 2024: p. 2024.07. 17.603955. · DOI
  43. 2002, Pymol: An open-source molecular graphics tool, CCP4 Newsl. Protein Crystallogr, 40, 82
  44. 2013, From FastQ data to high-confidence variant calls: the genome analysis toolkit best practices pipeline, Current protocols in bioinformatics, 43, 11
  45. 2012, A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3, 6, 80
  46. 10.1126/science.adk9893 · DOI
  47. 10.1038/nbt.1754 · DOI · Paper page
  48. 2016, A broad analysis of resistance development in the malaria parasite, Nature communications, 7, 11901, 10.1038/ncomms11901 · DOI
  49. 10.1126/science.aan4472 · DOI
  50. 2017, Esterase mutation is a mechanism of resistance to antimalarial compounds, Nature communications, 8, 14240, 10.1038/ncomms14240 · DOI
  51. 10.1186/gb-2014-15-1-r1 · DOI

Metadata

Authors
Rawat, M., Boonyalai, N., Smidt, C., Luth, M. R., Chen, D., Plater, A., Post, J., Lin, D., McMillan, J., Eadsforth, T., Moliner-Cubel, S., Billker, O., Rayner, J. C., Gamo, F.-J., Baragaña, B., Winzeler, E. A., & Lee, M. C. S.
Affiliations
  • University of Dundee (GB)
  • Wellcome Sanger Institute (GB)
  • University of California San Diego (US)
  • Umeå University (SE)
  • University of Cambridge (GB)
  • GlaxoSmithKline (Spain) (ES)
Corresponding author
Lee, Marcus C. S.
Venue
mBio
Publisher
openRxiv
Published
2025-08-06
Volume
17
Issue
1
Pages
e0242325-e0242325
ISSN
2150-7511 (ISSN-L)
OpenAlex
W4416574832
Cited by
0
References
3
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • mBio (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • Discovery Research Portal (University of Dundee) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Tres Cantos Open Lab Foundation (TC266)
  • Wellcome Trust (206194/Z/17/Z, 203134/A/16/Z)
  • Bill & Melinda Gates Foundation (INV-045096, INV-071352)
  • National Institute for General Medical Sciences (T32 GM008666)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Phytochemical compounds biological activities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Insect Resistance and Genetics
Keywords
antimalarial drugs, Plasmodium falciparum, liver-stage malaria, asexual blood stages, acetyl-CoA synthetase, protein kinase G, target identification, cross-resistance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review