The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Orientation Reconstruction of Proteins Using Coulomb Explosions
Open accessPublished version of a preprint
Abstract
We solve the orientation recovery of a tumbling protein in the gas phase from single-event measurements of the spatial positions of its ions after an x-ray laser-induced explosion. We simulate diffracted x-ray signal and ion dynamics under experimental conditions and compare our method to conventional orientation recovery in single-particle imaging with x-ray free-electron lasers using only diffraction data. We reconstruct 3D diffraction intensities using orientations recovered from the ion signatures and retrieve the electron density with established phase-retrieval algorithms. We test our orientation recovery procedure on 56 proteins ranging from 14 to 52 kDa (1800 to 6500 atoms), achieving an angular error of around 5 ° . The resulting 3D electron-density reconstructions are compared to ground-truth volumes simulated at the same nominal resolution and achieve the resolution at the edge of the detector in conditions similar to current single-particle imaging setups. We investigate the reconstruction quality and demonstrate that ion data can be used for reliable orientation recovery of particles in single-particle imaging, achieving orientation on par with or better than currently used recovery techniques. This Letter shows the potential of ion detection for retrieving additional information from the sample fragmentation and boosting single-particle imaging with x-ray lasers in the cases where the diffraction signal is a limiting factor.
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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 · cited 1×
“…structural biology [3], allowing the study of hundreds of thousands of molecules with Ångström resolution and, more recently, the development of AI-based computational tools such as AlphaFold [4], which has been proven to predict accurate protein structures directly from the amino-acid sequence.”
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Metadata
- Authors
- André, T., Bellisario, A., Kraft, W., Tîmneanu, N., & Caleman, C.
- Affiliations
- Uppsala University (SE)
- Uppsala University
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2026-09-14
- Volume
- 137
- Issue
- 12
- Pages
- 128401-128401
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W7140480214
- Cited by
- 0
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Physical Review Letters (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- Vetenskapsrådet (2018-00740, 2019-03935, 2023-03900, 2022-06725)
- Helmholtz Association
- Bundesministerium für Forschung, Technologie und Raumfahrt (2021-05988)
- National Institutes of Health (R01-GM129325)
- National Institute of Allergy and Infectious Diseases
- Topics
- Physical Sciences › Physics and Astronomy › Radiation › Advanced X-ray Imaging Techniques
- 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
- Keywords
- Coulomb explosion, ion detection, single-particle imaging, X-ray free-electron laser, phase retrieval, protein fragmentation
- MeSH terms
- Algorithms, Lasers, Models, Chemical, Proteins, X-Ray Diffraction
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