PreprintCited by 10Protein Structure and DynamicsAdvanced Electron Microscopy Techniques and ApplicationsEnzyme Structure and Function

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

Conformational Landscapes of a Class I Ribonucleotide Reductase Complex during Turnover Reveal Intrinsic Dynamics and Asymmetry

Open access
Xu, Da, Thomas, William C., Burnim, Audrey A., Ando, Nozomi·2024·Nature Communications

Preprint — published as 10.1038/s41467-025-57735-4

Abstract

Understanding the structural dynamics associated with enzymatic catalysis has been a long-standing goal of biochemistry. With the advent of modern cryo-electron microscopy (cryo-EM), it has become conceivable to redefine a protein’s structure as the continuum of all conformations and their distributions. However, capturing and interpreting this information remains challenging. Here, we use classification and deep-learning-based analyses to characterize the conformational heterogeneity of a class I ribonucleotide reductase (RNR) during turnover. By converting the resulting information into physically interpretable 2D conformational landscapes, we demonstrate that RNR continuously samples a wide range of motions while maintaining surprising asymmetry to regulate the two halves of its turnover cycle. Remarkably, we directly observe the appearance of highly transient conformations needed for catalysis, as well as the interaction of RNR with its endogenous reductant thioredoxin also contributing to the asymmetry and dynamics of the enzyme complex. Overall, this work highlights the role of conformational dynamics in regulating key steps in enzyme mechanisms.

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 · 10.1101/2024.06.16.599213

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

Research works printed but not linked: 69

  1. 10.1146/annurev-biochem-013118-111843 · DOI
  2. Burnim, A. A. , Spence, M. A. , Xu, D. , Jackson, C. J. & Ando, N . Comprehensive phylogenetic analysis of the ribonucleotide reductase family reveals an ancestral clade. Elife 11, (2022). · DOI
  3. 10.1002/pro.4483 · DOI
  4. 10.1126/science.271.5248.477 · DOI
  5. Ruskoski, T. B. & Boal, A. K . The periodic table of ribonucleotide reductases. J. Biol. Chem. 297, 101137 (2021). · DOI
  6. 10.1146/annurev-biochem-061408-095817 · DOI
  7. 10.1021/acs.biochem.0c00001 · DOI
  8. 10.1126/science.aba6794 · DOI
  9. 10.1021/ja207455k · DOI
  10. 10.1074/jbc.M117.783092 · DOI
  11. 10.1021/jacs.5b09189 · DOI
  12. 10.1021/ja076459b · DOI
  13. 10.1021/bi010651n · DOI
  14. 10.1021/ja054991y · DOI
  15. 10.1016/j.jmb.2006.03.035 · DOI
  16. 10.1021/ja0685607 · DOI
  17. 10.1021/ja057776q · DOI
  18. 10.1016/j.ymeth.2016.02.007 · DOI
  19. 10.1038/s41592-020-01049-4 · DOI
  20. Punjani, A. & Fleet, D. J . 3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J. Struct. Biol. 213, 107702 (2021). · DOI
  21. 10.1038/s41592-021-01220-5 · DOI
  22. 10.1093/micmic/ozad067.518 · DOI
  23. 10.1038/s41592-023-02031-6 · DOI
  24. 10.1101/2024.05.30.596729 · DOI · Paper page
  25. Jeon, M. , et al. CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM. arXiv [cs.CV] (2024).
  26. 10.1038/s41594-023-01078-5 · DOI
  27. Wang, J. et al. Catalytic trajectory of a dimeric nonribosomal peptide synthetase subunit with an inserted epimerase domain. Nat. Commun. 13, 592 (2022). · DOI
  28. 10.1038/s41594-023-01105-5 · DOI
  29. 10.1038/s41467-023-43145-x · DOI
  30. 10.1038/s41586-022-05366-w · DOI
  31. 10.1021/bi401056e · DOI
  32. 10.1021/bi8012559 · DOI
  33. 10.1038/s41587-020-00801-7 · DOI
  34. 10.1021/bi201925t · DOI
  35. 10.1021/bi00135a009 · DOI
  36. 10.1016/S0969-2126(97)00259-1 · DOI
  37. 10.1021/bi034374r · DOI
  38. 10.1021/ja201640n · DOI
  39. 10.1021/ja076043y · DOI
  40. 2021, Detection of catalytically linked conformational changes in wild-type class Ia ribonucleotide reductase using reaction-induced FTIR spectroscopy, J. Phys. Chem. B, 125, 8362, 10.1021/acs.jpcb.1c03038 · DOI
  41. 10.1038/s41467-019-10568-4 · DOI
  42. 10.1101/2021.10.04.463034 · DOI · Paper page
  43. 10.1021/ar4000407 · DOI
  44. 10.1074/jbc.M809338200 · DOI · Paper page
  45. 10.1074/jbc.M112.413427 · DOI
  46. 10.1016/S0021-9258(18)97742-2 · DOI
  47. 10.1021/bi00155a029 · DOI
  48. 2023, Ensemble Reweighting Using Cryo-EM Particle Images, J. Phys. Chem. B, 127, 5410, 10.1021/acs.jpcb.3c01087 · DOI
  49. 10.1073/pnas.1800356115 · DOI
  50. 10.1038/s41467-022-29332-2 · DOI
  51. 10.1038/nmeth.4169 · DOI · Paper page
  52. 10.1042/BCJ20210708 · DOI
  53. 10.1038/nmeth.4193 · DOI
  54. 10.1038/s41592-019-0575-8 · DOI
  55. 10.1038/s41592-020-00990-8 · DOI
  56. 10.1107/S2059798319011471/HTTPS://GOLDBOOK.IUPAC.ORG/E02002.HTML · DOI
  57. 10.1107/S0907444910007493 · DOI · Paper page
  58. 10.1002/PRO.4792 · DOI
  59. Sanchez-Garcia, R. et al. DeepEMhancer: a deep learning solution for cryo-EM volume post-processing. Commun Biol 4, 874 (2021). · DOI
  60. 10.1038/s41596-022-00763-x · DOI
  61. Scott, D. W. Multivariate Density Estimation: Theory, Practice, and Visualization. (John Wiley & Sons, 2015). · DOI · Paper page
  62. 10.1021/acs.jcim.3c01153 · DOI
  63. 10.1021/ACS.JCTC.9B00591/SUPPL_FILE/CT9B00591_SI_002.ZIP · DOI
  64. 10.1021/jz501780a · DOI
  65. 10.1021/acs.jcim.0c01390 · DOI
  66. 10.1021/acs.jctc.0c00194 · DOI
  67. 10.1021/acs.jcim.5b00674 · DOI
  68. Barca, G. M. J. et al. Recent developments in the general atomic and molecular electronic structure system. J. Chem. Phys. 152, 154102 (2020).
  69. 10.1021/jacs.0c04325 · DOI

Metadata

Authors
Xu, D., Thomas, W. C., Burnim, A. A., & Ando, N.
Affiliations
  • Cornell University (US)
  • Princeton University (US)
Corresponding author
Ando, Nozomi
Venue
Nature Communications
Publisher
openRxiv
Published
2024-06-17
Volume
16
Issue
1
Pages
2458-2458
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4408367378
Cited by
10
References
1
Citations by year
2026: 6 · 2025: 3 · 2024: 1
FWCI
2.69
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Science Foundation (1942668)
  • U.S. Department of Health and Human Services (U24 GM129539)
  • Simons Foundation (SF 349247)
  • National Institutes of Health
  • National Institute of General Medical Sciences (U24GM129539)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
Keywords
class I ribonucleotide reductase, conformational dynamics, conformational landscape, enzyme turnover, thioredoxin, enzyme mechanism, protein complex dynamics, deep learning classification
MeSH terms
Models, Molecular, Protein Conformation, Ribonucleotide Reductases, Thioredoxins, Cryoelectron Microscopy

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