Cited by 2Protein Structure and DynamicsTuberculosis Research and EpidemiologyLipid Membrane Structure and Behavior

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Coarse-Graining the Recognition of a Glycolipid by the C-Type Lectin Mincle Receptor

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Noriega, Maxime, Corey, Robin A., Haanappel, Evert, Demange, Pascal, Czaplicki, Georges, Atkinson, R. Andrew, Chavent, Matthieu·2024·The Journal of Physical Chemistry B

Published version of a preprint

Abstract

Abstract Macrophage inducible Ca 2+ -dependent lectin (Mincle) receptor recognizes Mycobacterium tuberculosis glycolipids to trigger an immune response. This host membrane receptor is thus a key player in the modulation of the immune response to infection by M. tuberculosis , and has emerged as a promising target for the development of new vaccines for tuberculosis. The recent development of the Martini 3 force field for coarse-grained (CG) molecular modeling allow the study of interactions of soluble proteins with small ligands but its use for the study of interactions with lipids remains less explored. Here, we present a refined approach detailing a protocol for modeling such interactions at a CG level using the Martini 3 force field. Using this approach, we studied Mincle and identified critical parameters governing ligand recognition, such as loop flexibility and the regulation of hydrophobic groove formation by calcium ions. In addition, we assessed ligand affinity using free energy perturbation calculations. Our results offer mechanistic insight into the interactions between Mincle and glycolipids, providing a basis for rational design of molecules targeting this type of membrane receptors.

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Research works printed but not linked: 93

  1. 10.1016/j.sbi.2008.08.001 · DOI
  2. 10.1038/nri2569 · DOI
  3. 10.1038/nrmicro2295 · DOI
  4. Araç D., 2016, Adhesion G Protein-Coupled Receptors: Molecular, Physiological and Pharmacological Principles in Health and Disease, 234, 67, 10.1007/978-3-319-41523-9_4 · DOI
  5. 10.1038/s41577-018-0004-8 · DOI
  6. 10.1146/annurev-bioeng-092115-025322 · DOI
  7. 10.1126/science.1260419 · DOI · Paper page
  8. 10.1038/nrd2199 · DOI · Paper page
  9. 10.3390/ijms20112783 · DOI
  10. 10.1038/s41586-023-05905-z · DOI
  11. 10.3389/fmolb.2021.657222 · DOI
  12. 10.1186/1741-7007-9-71 · DOI
  13. Santos L. H. S., 2019, Docking Screens for Drug Discovery, 2053, 13, 10.1007/978-1-4939-9752-7_2 · DOI
  14. 10.1021/acs.jctc.6b00201 · DOI
  15. 10.1007/s10822-016-0005-2 · DOI
  16. 10.1021/jp036508g · DOI · Paper page
  17. 10.1021/jp071097f · DOI
  18. 10.1021/ct700324x · DOI
  19. 10.1021/acs.jctc.9b00473 · DOI
  20. 10.1021/acs.jctc.7b00374 · DOI
  21. 10.1371/journal.pone.0187936 · DOI
  22. 10.1021/acs.jctc.0c01253 · DOI
  23. 10.1021/acs.jctc.2c00796 · DOI
  24. 10.1038/s41467-020-17437-5 · DOI
  25. 10.1002/adts.202100391 · DOI
  26. 10.1017/qrd.2022.16 · DOI
  27. 10.1021/acs.jctc.3c00733 · DOI
  28. 10.1016/j.bbapap.2024.141014 · DOI
  29. 10.1016/j.cplett.2023.140436 · DOI
  30. 10.1021/acs.jctc.1c01042 · DOI
  31. 10.1021/acs.jctc.2c00950 · DOI
  32. 10.4049/jimmunol.163.9.5039 · DOI
  33. 10.1084/jem.20091750 · DOI
  34. 10.1016/j.chom.2013.03.008 · DOI
  35. 10.1073/pnas.1618133114 · DOI
  36. 10.1038/s41598-018-37318-8 · DOI
  37. 10.1038/ni.1651 · DOI · Paper page
  38. 10.1038/ni1466 · DOI
  39. 10.1073/pnas.1612421114 · DOI
  40. 10.1084/jem.20081445 · DOI
  41. 10.4049/jimmunol.0904013 · DOI
  42. 10.1002/iid3.186 · DOI
  43. 10.1074/jbc.M113.497149 · DOI
  44. 10.1074/jbc.M116.749515 · DOI
  45. 10.1073/pnas.1312649110 · DOI
  46. 10.1016/j.str.2023.05.018 · DOI
  47. 10.1021/acscentsci.3c00040 · DOI
  48. 10.1093/glycob/cwu072 · DOI
  49. 10.1038/s41598-018-23624-8 · DOI
  50. 10.1016/j.str.2022.05.014 · DOI
  51. 10.1021/acs.jctc.9b00548 · DOI
  52. 10.1021/ct100578z · DOI
  53. 10.1021/ct200133y · DOI
  54. 10.1063/1.445869 · DOI
  55. 10.1002/jcc.20945 · DOI · Paper page
  56. 10.1002/jcc.21287 · DOI
  57. 10.1016/j.bpj.2015.11.3431 · DOI
  58. Kroon, P.; Grunewald, F.; Barnoud, J.; van Tilburg, M.; Souza, P.; Wassenaar, T.; Marrink, S. Martinize2 and Vermouth: Unified Framework for Topology Generation eLife 2023; Vol. 12. · DOI
  59. 10.1021/acs.jcim.2c01375 · DOI · Paper page
  60. 10.1093/nar/gkab1061 · DOI · Paper page
  61. 10.1002/jcc.20084 · DOI
  62. Wang J., 2001, J. Am. Chem. Soc., 222
  63. 10.1021/acs.jctc.2c00553 · DOI
  64. 10.1016/j.softx.2015.06.001 · DOI · Paper page
  65. 10.1002/jcc.23354 · DOI
  66. 10.1002/wics.117 · DOI
  67. 10.1080/08927028808080941 · DOI
  68. 10.1063/1.463940 · DOI
  69. 10.1021/ct700200b · DOI
  70. 10.1063/1.328693 · DOI
  71. 10.1063/1.2408420 · DOI
  72. 10.1002/jcc.20035 · DOI
  73. 10.1021/acs.jcim.3c01153 · DOI
  74. 10.1016/0263-7855(96)00018-5 · DOI · Paper page
  75. 10.1016/j.str.2015.11.008 · DOI
  76. 10.1073/pnas.181342398 · DOI
  77. 10.1021/acs.jctc.1c00708 · DOI
  78. 10.1007/s10822-015-9840-9 · DOI
  79. 10.1063/1.2978177 · DOI
  80. 10.1126/science.1066371 · DOI
  81. 10.1021/acschembio.2c00626 · DOI
  82. 10.1002/chem.202400660 · DOI
  83. 10.1021/ct9002114 · DOI
  84. 10.1021/acs.jctc.6b00986 · DOI
  85. 10.3389/fmolb.2021.619381 · DOI
  86. 10.1021/acs.jctc.3c00471 · DOI
  87. 10.1039/D1SC00374G · DOI
  88. 10.1021/acs.jctc.2c01273 · DOI
  89. 10.1021/acs.jpcb.3c06523 · DOI
  90. Lin F.-Y., 2019, Biomolecular Simulations: Methods and Protocols, 21
  91. 10.1126/sciadv.abh2217 · DOI
  92. 10.1063/5.0014258 · DOI
  93. Sami S., 2023, A Practical Guide to Recent Advances in Multiscale Modeling and Simulation of Biomolecules

Metadata

Authors
Noriega, M., Corey, R. A., Haanappel, E., Demange, P., Czaplicki, G., Atkinson, R. A., & Chavent, M.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • University of Bristol (GB)
Corresponding author
  • Atkinson, R. Andrew
  • Chavent, Matthieu
Venue
The Journal of Physical Chemistry B
Published
2024-10-05
Volume
128
Issue
41
Pages
9935-9946
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W4403154719
Cited by
2
References
6
Citations by year
2025: 2
FWCI
0.27
Type
journal article
Language
en
Open access
Locations
  • The Journal of Physical Chemistry B (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • Explore Bristol Research (publishedVersion, cc-by)
  • Bristol Research (University of Bristol) (acceptedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
Funders
  • Grand ?quipement National De Calcul Intensif (A0130712941)
  • Universit? Toulouse III - Paul Sabatier (P16015)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
Keywords
C-type lectin, glycolipid recognition, Mycobacterium tuberculosis, Martini 3 force field, ligand-receptor interactions, calcium-dependent binding, hydrophobic groove, loop flexibility, free energy perturbation, host immune response
MeSH terms
Calcium, Glycolipids, Humans, Ligands, Mycobacterium tuberculosis, Receptors, Immunologic, Thermodynamics, Lectins, C-Type, Molecular Dynamics Simulation

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