The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cross-Link Guided Molecular Modeling with ROSETTA
Open accessAbstract
Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these distance restraints can be best integrated into molecular modeling calculations. Here, we introduce three workflows for incorporating distance restraints generated by chemical cross-linking and mass spectrometry into ROSETTA protocols for comparative and de novo modeling and protein-protein docking. We demonstrate that the cross-link validation and visualization software Xwalk facilitates successful cross-link data integration. Besides the protocols we introduce XLdb, a database of chemical cross-links from 14 different publications with 506 intra-protein and 62 inter-protein cross-links, where each cross-link can be mapped on an experimental structure from the Protein Data Bank. Finally, we demonstrate on a protein-protein docking reference data set the impact of virtual cross-links on protein docking calculations and show that an inter-protein cross-link can reduce on average the RMSD of a docking prediction by 5.0 Å. The methods and results presented here provide guidelines for the effective integration of chemical cross-link data in molecular modeling calculations and should advance the structural analysis of particularly large and transient protein complexes via hybrid structural biology methods.
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
Structure-based prediction of protein–protein interactions on a genome-wide scale
Zhang, Q. C., Petrey, D., Deng, L., Qiang, L., Shi, Y., Thu, C. A., Bisikirska, B., Lefebvre, C., Accili, D., Hunter, T., et al. (2012) · Nature · doi:10.1038/nature11503 · Cited by 723 · cited 1×
“Conventional structural biology techniques like X-ray crystallography or Nuclear Magnetic Resonance (NMR) spectroscopy solved the structure of a large number of macromolecular complexes [1].”
Background
Cited by
Leitner, A., Faini, M., Stengel, F., & Aebersold, R. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.10.008 · Cited by 355
Self-citationImprovements, trends, and new ideas in molecular docking: 2012–2013 in review
Yuriev, E., Holien, J., & Ramsland, P. A. (2015) · Journal of Molecular Recognition · doi:10.1002/jmr.2471 · Cited by 263
Grimm, M., Zimniak, T., Kahraman, A., & Herzog, F. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv463 · Cited by 121
“In comparison to Euclidian distances the simulation of distance restraints on the solvent accessible protein surface has been shown to be superior in constraining computational molecular modeling and docking experiments (14,15).”
BackgroundTurzo, S. B. A., Seffernick, J. T., Rolland, A. D., Donor, M. T., Heinze, S., Prell, J. S., Wysocki, V. H., & Lindert, S. (2022) · Nature Communications · doi:10.1038/s41467-022-32075-9 · Cited by 47
The evolving contribution of mass spectrometry to integrative structural biology
Faini, M., Stengel, F., & Aebersold, R. (2016) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-016-1382-4 · Cited by 44
Self-citation
Metadata
- Authors
- Kahraman, A., Herzog, F., Leitner, A., Rosenberger, G., Aebersold, R., & Malmström, L.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-09-17
- Volume
- 8
- Issue
- 9
- Pages
- e73411
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2086674472
- Cited by
- 167
- References
- 1
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- gold
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: Cross-Link Guided Molecular Modeling with ROSETTA. https://app.cochat.ai/papers/10.1371/journal.pone.0073411
- The paper
- Kahraman, A., Herzog, F., Leitner, A., Rosenberger, G., Aebersold, R., & Malmström, L. (2013). Cross-Link Guided Molecular Modeling with ROSETTA. PLoS ONE. https://doi.org/10.1371/journal.pone.0073411
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.