The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
AlphaCross-XL: a seamless tool for automated and proteome-scale mapping of crosslinked peptides onto three-dimensional protein structures
Open accessPreprint — published as 10.1016/j.mcpro.2025.101057 · Paper page
Abstract
Crosslinking mass spectrometry (XL-MS) is an exciting proteomics technology to capture native protein conformations in real time within biological systems. Historically, however, implementation of this technology has typically been limited to single purified recombinant proteins or in vitro assembled protein complexes. These limitations are associated with inherent challenges in XL-MS analysis, including extremely low abundance of crosslinked (XL) peptides and complex deconvolution of XL peptide-derived spectral data. However, impressive recent developments in computation and instrumentation have now made it feasible to address biological questions using proteome-wide XL-MS analysis. Although some XL mapping software tools exist, these require manual input of specific Protein Data Bank (PDB) structures at the single protein level, and do not function at the high throughput scale required to analyze datasets derived from thousands of proteins. To address this need, we therefore sought to develop a strategy enabling automated mapping of XL peptides onto the three-dimensional (3D) structures of proteins, at a proteome-wide scale. Herein we describe AlphaCross-XL, a first-in-class seamless computational tool for automated mapping of XL peptides onto the protein structures for intra-protein crosslinks and loop-links. The AlphaCross-XL software first retrieves protein structures from the AlphaFold Protein Structure Database and maps all the identified crosslinks onto the 3D structure. It also calculates the Euclidian distance between the crosslinked residues and reports the violated and satisfied crosslink distances based on a user-defined distance threshold, which is visually discriminated by color in PyMOL. Lastly, the tool also supports further validation of user-submitted protein structures, that can include any computer-predicted protein structure and experimentally derived protein structures (i.e., from PDB). AlphaCross-XL is available at https://github.com/sanjyotshenoy/alphacross-xl .
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
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
Flagged first, then by citations
Research works printed but not linked: 30
- 10.1038/s43018-023-00652-6 · DOI
- 10.1126/sciadv.aay6350 · DOI
- 10.1016/j.tibs.2015.10.008 · DOI
- 10.1038/nprot.2013.168 · DOI
- 10.1074/mcp.M110.002212 · DOI
- 10.1021/acscentsci.9b00416 · DOI
- Gutierrez, C. et al. Enabling Photoactivated Cross-Linking Mass Spectrometric Analysis of Protein Complexes by Novel MS-Cleavable Cross-Linkers. Mol Cell Proteomics 20, (2021). · DOI
- 10.1021/acs.analchem.3c01369 · DOI
- 10.1021/acs.jproteome.9b00541 · DOI
- 10.1016/j.cels.2017.10.017 · DOI
- Wheat, A. et al. Protein interaction landscapes revealed by advanced in vivo cross-linking-mass spectrometry. Proc Natl Acad Sci U S A 118, (2021). · DOI
- 10.1021/acs.analchem.7b04431 · DOI
- 10.1093/NAR/GKAB1061 · DOI · Paper page
- Chen, Z. L. et al. A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides. Nat Commun 10, (2019). · DOI
- 10.1021/pr501321h · DOI
- Clasen, M. A. et al. Proteome-scale recombinant standards and a robust high-speed search engine to advance cross-linking MS-based interactomics. Nat Methods 21, (2024). · DOI
- 10.15252/msb.20198994 · DOI
- 10.1021/acs.analchem.2c05141 · DOI
- 10.1093/bioinformatics/btr168 · DOI
- Du, L. et al. Pyfastx: A robust Python package for fast random access to sequences from plain and gzipped FASTA/Q files. Brief Bioinform 22, (2021). · DOI
- Berman, H. M. , et al. The Protein Data Bank. Nucleic Acids Research vol. 28 http://www.rcsb.org/pdb/status.html (2000). · DOI · Paper page
- 10.1021/ACS.CHEMREV.1C00786 · DOI
- 10.1074/mcp.M111.014126 · DOI
- 10.1038/s41587-023-01704-z · DOI
- Manalastas-Cantos, K. et al. Modeling Flexible Protein Structure With AlphaFold2 and Crosslinking Mass Spectrometry. Mol Cell Proteomics 23, (2024). · DOI
- Combe, C. W. , Graham, M. , Kolbowski, L. , Fischer, L. & Rappsilber, J . xiVIEW: Visualisation of Crosslinking Mass Spectrometry Data. J Mol Biol 436, (2024). · DOI
- 10.1002/PRO.3902 · DOI
- 10.1021/acs.jproteome.0c00957 · DOI
- 10.1038/s44319-024-00076-y · DOI
- 10.1038/s41594-023-01201-6 · DOI · Paper page
Metadata
- Authors
- Shenoy, S. V., Biswas, D., Mandal, K., Zalevsky, A., Kishishita, A., Verma, A., Upadhay, I., He, Y., Sali, A., Viner, R., Srivastava, S., & Wiita, A. P.
- Affiliations
- Indian Institute of Technology Bombay (IN)
- University of California, San Francisco (US)
- Thermo Fisher Scientific (United States) (US)
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, CA, USA
- Corresponding author
- Mandal, Kamal
- Srivastava, Sanjeeva
- Wiita, Arun P.
- ORCID
- Venue
- Molecular & Cellular Proteomics
- Publisher
- openRxiv
- Published
- 2025-01-24
- Volume
- 24
- Issue
- 10
- Pages
- 101057-101057
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC12509755
- OpenAlex
- W4413324451
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 5
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (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 (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- Funders
- Indian Institute of Technology Bombay (BT/PR13114/INF/22/206/2015)
- National Institutes of Health
- National Cancer Institute (R21 CA263299, R01CA290875)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- cross-linking mass spectrometry, AlphaFold structures, protein structure validation, proteome-wide analysis, native protein conformation
- MeSH terms
- Cross-Linking Reagents, Humans, Peptides, Protein Conformation, Software, Mass Spectrometry, Proteome, Proteomics
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