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Cited by 422

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

The beginning of a beautiful friendship: Cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes

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Rappsilber, Juri·2011·Journal of Structural Biology

Abstract

After more than a decade of method development, cross-linking in combination with mass spectrometry and bioinformatics is finally coming of age. This technology now provides improved opportunities for modelling by mapping structural details of functional complexes in solution. The structure of proteins or protein complexes is ascertained by identifying amino acid pairs that are positioned in close proximity to each other. The validity of this technique has recently been benchmarked for large multi-protein complexes, by comparing cross-link data with that from a crystal structure of RNA polymerase II. Here, the specific nature of this cross-linking data will be discussed to assess the technical challenges and opportunities for model building. We believe that once remaining technological challenges of cross-linking/mass spectrometry have been addressed and cross-linking/mass spectrometry data has been incorporated into modelling algorithms it will quickly become an indispensable companion of protein and protein complex modelling and a corner-stone of integrated structural biology.

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Metadata

Authors
Rappsilber, J.
Venue
Journal of Structural Biology
Publisher
Elsevier BV
Published
2011-03
Volume
173
Issue
3
Pages
530-540
ISSN
1047-8477 (ISSN-L)
OpenAlex
W1967086556
Cited by
422
References
7
FWCI
9.12
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The beginning of a beautiful friendship: Cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes. https://app.cochat.ai/papers/10.1016/j.jsb.2010.10.014
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Rappsilber, J. (2011). The beginning of a beautiful friendship: Cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes. Journal of Structural Biology. https://doi.org/10.1016/j.jsb.2010.10.014

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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.