The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Identification of macromolecular complexes in cryoelectron tomograms of phantom cells
Open accessAbstract
Electron tomograms of intact frozen-hydrated cells are essentially three-dimensional images of the entire proteome of the cell, and they depict the whole network of macromolecular interactions. However, this information is not easily accessible because of the poor signal-to-noise ratio of the tomograms and the crowded nature of the cytoplasm. Here, we describe a template matching algorithm that is capable of detecting and identifying macromolecules in tomographic volumes in a fully automated manner. The algorithm is based on nonlinear cross correlation and incorporates elements of multivariate statistical analysis. Phantom cells, i.e., lipid vesicles filled with macromolecules, provide a realistic experimental scenario for an assessment of the fidelity of this approach. At the current resolution of ≈4 nm, macromolecules in the size range of 0.5–1 MDa can be identified with good fidelity.
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
Macromolecular crowding: obvious but underappreciated
Ellis, R. J. (2001) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(01)01938-7 · Cited by 2,309
Cited by
The native 3D organization of bacterial polysomes
Brandt, F., Etchells, S. A., Ortiz, J. O., Elcock, A. H., Hartl, F. U., & Baumeister, W. (2009) · Cell · doi:10.1016/j.cell.2008.11.016 · Cited by 258
Three-dimensional architecture of murine rod outer segments determined by cryoelectron tomography
Nickell, S., Park, P. S.-H., Baumeister, W., & Palczewski, K. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200612010 · Cited by 209
Self-citationIntegrating diverse data for structure determination of macromolecular assemblies
Alber, F., Förster, F., Korkin, D., Topf, M., & Sali, A. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.060407.135530 · Cited by 206
Self-citationVisual proteomics of the human pathogen Leptospira interrogans
Beck, M., Malmström, J. A., Lange, V., Schmidt, A., Deutsch, E. W., & Aebersold, R. (2009) · Nature Methods · doi:10.1038/nmeth.1390 · Cited by 156
Metadata
- Authors
- Frangakis, A. S., Böhm, J., Förster, F., Nickell, S., Nicastro, D., Typke, D., Hegerl, R., & Baumeister, W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-10-21
- Volume
- 99
- Issue
- 22
- Pages
- 14153-14158
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2003294049
- Cited by
- 267
- References
- 1
- FWCI
- 7.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Identification of macromolecular complexes in cryoelectron tomograms of phantom cells. https://app.cochat.ai/papers/10.1073/pnas.172520299
- The paper
- Frangakis, A. S., Böhm, J., Förster, F., Nickell, S., Nicastro, D., Typke, D., Hegerl, R., & Baumeister, W. (2002). Identification of macromolecular complexes in cryoelectron tomograms of phantom cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.172520299
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.