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 accessPreprint — 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.
Integrity signals
Registry
Cites
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.
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
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Flagged first, then by citations
Research works printed but not linked: 57
- 10.1093/nar/gku316 · DOI · Paper page
- 10.1021/ci200227u · DOI
- 10.1002/PRO.4792 · DOI
- Celina, S.S. and J. Cerny, in ticks, livestock, pets and wildlife: A mini-review . Frontiers in Veterinary Science, 2022. 9. · DOI
- 10.1016/j.micinf.2018.06.001 · DOI
- Tan, T. , et al., A systematic review of global Q fever outbreaks. One Health, 2024. 18(100667). · DOI
- 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
- 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
- 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
- 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
- 10.1016/j.ijmm.2023.151590 · DOI
- 10.1073/pnas.0931379100 · DOI
- 10.1016/j.tim.2018.12.012 · DOI
- 10.1016/j.mimet.2013.11.010 · DOI
- 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
- 10.1586/14787210.2013.840534 · DOI
- Hemsley, C.M. , et al., Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups. Bmc Genomics, 2019. 20. · DOI
- Metters, G. , et al., Identification of essential genes in Coxiella burnetii. Microb Genom, 2023. 9(2). · DOI
- 10.1046/j.1432-1327.2001.02262.x · DOI
- 10.1128/JB.181.18.5615-5623.1999 · DOI
- 10.1007/s002030050518 · DOI
- 2018, Loving the poison: the methylcitrate cycle and bacterial pathogenesis, Microbiology-Sgm, 164, 251, 10.1099/mic.0.000604 · DOI
- 10.1073/pnas.1706134114 · DOI
- 10.1128/JB.181.23.7161-7167.1999 · DOI
- 10.1073/pnas.1400390111 · DOI
- 10.1128/JB.185.16.4837-4843.2003 · DOI
- 10.1016/j.bbrc.2003.09.193 · DOI
- 10.1016/S0022-2836(03)00358-9 · DOI
- 10.1021/bi401432t · DOI
- 10.1021/bi0479712 · DOI
- 10.1016/j.jsb.2016.03.019 · DOI
- 10.1038/77964 · DOI
- 10.1007/978-1-4939-6783-4_2 · DOI
- 10.1186/s13062-016-0159-9 · DOI
- 10.1006/jmbi.2000.4315 · DOI · Paper page
- 10.1006/jmbi.1990.9999 · DOI · Paper page
- 10.1093/nar/28.1.235 · DOI · Paper page
- 10.1038/s41579-024-01054-w · DOI
- 10.1186/s13321-018-0285-8 · DOI
- Andre Johan, W. , Characterization and targeting of the 2-methylcitrate cycle in Pseudomonas aeruginosa, in Department of Biochemistry. 2021, University of Cambridge.
- 10.1111/j.1462-2920.2011.02458.x · DOI
- 10.1016/j.chom.2009.08.003 · DOI
- 10.1038/nmeth.1377 · DOI
- 10.1038/s41598-024-57537-6 · DOI
- 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
- Krishna, R. , et al., Generalized biomolecular modeling and design with RoseTTAFold All-Atom. Science, 2024. 384(6693). · DOI · Paper page
- 10.1126/science.ade2574 · DOI · Paper page
- Abramson, J. , et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature, 2024. 630(8016). · DOI · Paper page
- 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
- 10.1016/j.jbc.2022.101903 · DOI
- 10.1016/j.jsb.2010.06.008 · DOI
- 10.1107/S0021889809045701 · DOI
- 10.1107/S0021889807021206 · DOI · Paper page
- 10.1107/S0907444911001314 · DOI
- 10.1107/S2059798322007987 · DOI
- 10.1107/S0907444904019158 · DOI · Paper page
- 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.
- ORCID
- Venue
- Journal of Biological Chemistry
- Publisher
- openRxiv
- Published
- 2025-01-06
- Volume
- 301
- Issue
- 6
- Pages
- 108517-108517
- ISSN
- 0021-9258 (ISSN-L)
- PMC
- PMC12145553
- OpenAlex
- W4409499652
- Cited by
- 1
- References
- 1
- Citations by year
- 2026: 1
- FWCI
- 0.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- 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