PreprintCited by 1Enzyme Structure and FunctionProtein Structure and DynamicsComputational Drug Discovery Methods

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Structure and catalytic mechanism of methylisocitrate lyase, a potential drug target against Coxiella burnetii

Open access
Stuart, William S., Jenkins, Christopher H., Ireland, Philip M., Isupov, Michail N., Norville, Isobel H., Harmer, Nicholas J.·2025·Journal of Biological Chemistry

Preprint — published as 10.1016/j.jbc.2025.108517 · Paper page

Abstract

We present a comprehensive investigation into the catalytic mechanism of methylisocitrate lyase, a potential drug target candidate against the zoonotic pathogen Coxiella burnetii , the causative agent of Q fever and a federal select agent. Current treatment regimens are prolonged, often with incomplete clearance of the pathogen. We utilised a structure-based bioinformatics pipeline to identify methylisocitrate lyase as a candidate therapeutic target against C. burnetii from a list of essential genes. Wild-type C. burnetii methylisocitrate lyase has a k cat of 32,000 s -1 (compared to 105 s -1 for Salmonella enterica ) and isocitrate inhibits with a K I of 6 mM. We have determined the previously uncharacterised substrate-bound structure of this enzyme family, alongside product and inhibitor-bound structures. These structures of wild-type enzyme reveal that in the active state the catalytic C118 is positioned 2.98 Å from O5 of methylisocitrate and Arg152 moves towards the substrate relative to the inhibitor bound structure. Analysis of structure-based mutants reveals that Arg152 and Glu110 are both essential for catalysis. We suggest that Arg152 acts as the catalytic base that initiates the methylisocitrate lyase reaction. These results deepen our understanding of the catalytic mechanism of methylisocitrate lyase and could aid the development of new therapeutics against C. burnetii .

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 · 10.1101/2025.01.06.631558

Cites

1 of 1 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

Show all 1 references

Research works printed but not linked: 57

  1. 10.1093/nar/gku316 · DOI · Paper page
  2. 10.1021/ci200227u · DOI
  3. 10.1002/PRO.4792 · DOI
  4. Celina, S.S. and J. Cerny, in ticks, livestock, pets and wildlife: A mini-review . Frontiers in Veterinary Science, 2022. 9. · DOI
  5. 10.1016/j.micinf.2018.06.001 · DOI
  6. Tan, T. , et al., A systematic review of global Q fever outbreaks. One Health, 2024. 18(100667). · DOI
  7. 2012, Of goats and humans; the societal costs of the Dutch Q fever saga, International Journal of Infectious Diseases, 16, E266, 10.1016/j.ijid.2012.05.914 · DOI
  8. Raijmakers, R.P.H. , et al., Multi-omics examination of Q fever fatigue syndrome identifies similarities with chronic fatigue syndrome. Journal of Translational Medicine, 2020. 18(1). · DOI
  9. Reukers, D.F.M. , et al., Impact of Q-fever on physical and psychosocial functioning until 8 years after Coxiella burnetii infection: An integrative data analysis. Plos One, 2022. 17(2). · DOI
  10. Clemente, T.M. , R.K. Angara , and S.D. Gilk , Establishing the intracellular niche of obligate intracellular vacuolar pathogens. Frontiers in Cellular and Infection Microbiology, 2023. 13. · DOI
  11. 10.1016/j.ijmm.2023.151590 · DOI
  12. 10.1073/pnas.0931379100 · DOI
  13. 10.1016/j.tim.2018.12.012 · DOI
  14. 10.1016/j.mimet.2013.11.010 · DOI
  15. 2013, Diagnosis and Management of Q Fever - United States, 2013 Recommendations from CDC and the Q Fever Working Group, Mmwr Recommendations and Reports, 62, 1
  16. 10.1586/14787210.2013.840534 · DOI
  17. Hemsley, C.M. , et al., Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups. Bmc Genomics, 2019. 20. · DOI
  18. Metters, G. , et al., Identification of essential genes in Coxiella burnetii. Microb Genom, 2023. 9(2). · DOI
  19. 10.1046/j.1432-1327.2001.02262.x · DOI
  20. 10.1128/JB.181.18.5615-5623.1999 · DOI
  21. 10.1007/s002030050518 · DOI
  22. 2018, Loving the poison: the methylcitrate cycle and bacterial pathogenesis, Microbiology-Sgm, 164, 251, 10.1099/mic.0.000604 · DOI
  23. 10.1073/pnas.1706134114 · DOI
  24. 10.1128/JB.181.23.7161-7167.1999 · DOI
  25. 10.1073/pnas.1400390111 · DOI
  26. 10.1128/JB.185.16.4837-4843.2003 · DOI
  27. 10.1016/j.bbrc.2003.09.193 · DOI
  28. 10.1016/S0022-2836(03)00358-9 · DOI
  29. 10.1021/bi401432t · DOI
  30. 10.1021/bi0479712 · DOI
  31. 10.1016/j.jsb.2016.03.019 · DOI
  32. 10.1038/77964 · DOI
  33. 10.1007/978-1-4939-6783-4_2 · DOI
  34. 10.1186/s13062-016-0159-9 · DOI
  35. 10.1006/jmbi.2000.4315 · DOI · Paper page
  36. 10.1006/jmbi.1990.9999 · DOI · Paper page
  37. 10.1093/nar/28.1.235 · DOI · Paper page
  38. 10.1038/s41579-024-01054-w · DOI
  39. 10.1186/s13321-018-0285-8 · DOI
  40. Andre Johan, W. , Characterization and targeting of the 2-methylcitrate cycle in Pseudomonas aeruginosa, in Department of Biochemistry. 2021, University of Cambridge.
  41. 10.1111/j.1462-2920.2011.02458.x · DOI
  42. 10.1016/j.chom.2009.08.003 · DOI
  43. 10.1038/nmeth.1377 · DOI
  44. 10.1038/s41598-024-57537-6 · DOI
  45. Warner, I.A. , et al., Microbial Primer: Transposon directed insertion site sequencing (TraDIS): A high throughput method for linking genotype to phenotype. Microbiology (Reading), 2023. 169(11). · DOI
  46. Krishna, R. , et al., Generalized biomolecular modeling and design with RoseTTAFold All-Atom. Science, 2024. 384(6693). · DOI · Paper page
  47. 10.1126/science.ade2574 · DOI · Paper page
  48. Abramson, J. , et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature, 2024. 630(8016). · DOI · Paper page
  49. Dolan, S.K. , et al., Systems-Wide Dissection of Organic Acid Assimilation in Pseudomonas aeruginosa Reveals a Novel Path To Underground Metabolism. Mbio, 2022. 13(6). · DOI · Paper page
  50. 10.1016/j.jbc.2022.101903 · DOI
  51. 10.1016/j.jsb.2010.06.008 · DOI
  52. 10.1107/S0021889809045701 · DOI
  53. 10.1107/S0021889807021206 · DOI · Paper page
  54. 10.1107/S0907444911001314 · DOI
  55. 10.1107/S2059798322007987 · DOI
  56. 10.1107/S0907444904019158 · DOI · Paper page
  57. 2018, ISOLDE: a physically realistic environment for model building into low- resolution electron-density maps, Acta Crystallogr D Struct Biol, 74, 519, 10.1107/S2059798318002425 · DOI

Metadata

Authors
Stuart, W. S., Jenkins, C. H., Ireland, P. M., Isupov, M. N., Norville, I. H., & Harmer, N. J.
Affiliations
  • University of Exeter (GB)
  • Defence Science and Technology Laboratory (GB)
Corresponding author
Harmer, Nicholas J.
Venue
Journal of Biological Chemistry
Publisher
openRxiv
Published
2025-01-06
Volume
301
Issue
6
Pages
108517-108517
ISSN
0021-9258 (ISSN-L)
OpenAlex
W4409499652
Cited by
1
References
1
Citations by year
2026: 1
FWCI
0.21
Type
journal article
Language
en
Open access
Locations
  • Journal of Biological Chemistry (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Defence Science and Technology Laboratory
  • Biotechnology and Biological Sciences Research Council (BB/M009122/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
Keywords
Coxiella burnetii, Q fever, catalytic mechanism, therapeutic target, essential genes, enzyme kinetics
MeSH terms
Bacterial Proteins, Catalysis, Enzyme Inhibitors, Coxiella burnetii, Crystallography, X-Ray, Catalytic Domain

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