ArticleNature communications2019
Rapid determination of quaternary protein structures in complex biological samples.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Molecular mechanism of complement interference by Streptococcus pyogenes nuclease A.Communications biology · 2026Article
- Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction.bioRxiv : the preprint server for biology · 2026Article
- Rapid Proteome-Wide Discovery of Protein-Protein Interactions With ppIRIS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- XL-MSDigger: a deep learning-based, versatile solution for cross-linking mass spectrometry.Nature communications · 2026Article
- Thianthrenium Chemistry for Identification of Protein-Protein Interactions in Cells.Journal of the American Chemical Society · 2025Article
- State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025Review
- Deep-learning structure elucidation from single-mutant deep mutational scanning.Nature communications · 2025Article
- HDXRank: A Deep Learning Framework for Ranking Protein Complex Predictions with Hydrogen-Deuterium Exchange Data.Journal of chemical theory and computation · 2025Article
- Epitope Mapping with Sidewinder: An XL-MS and Structural Modeling Approach.International journal of molecular sciences · 2025Article
- Energy Resolved Mass Spectrometry Data from Surfaced Induced Dissociation Improves Prediction of Protein Complex Structure.Analytical chemistry · 2025Article
- Streptolysin O accelerates the conversion of plasminogen to plasmin.Nature communications · 2024Article
- Multimodal Mass Spectrometry Identifies a Conserved Protective Epitope inAnalytical chemistry · 2024Article
- The hinge-engineered IgG1-IgG3 hybrid subclass IgGhNature communications · 2024Article
- Predicting ion mobility collision cross sections using projection approximation with ROSIE-PARCS webserver.Briefings in bioinformatics · 2023Article
- A human monoclonal antibody bivalently binding two different epitopes in streptococcal M protein mediates immune function.EMBO molecular medicine · 2023Article
- Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.PLoS computational biology · 2023Article
- Affinity-Purification Combined with Crosslinking Mass Spectrometry for Identification and Structural Modeling of Host-Pathogen Protein-Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Group A streptococci induce stronger M protein-fibronectin interaction when specific human antibodies are bound.Frontiers in microbiology · 2023Article
- Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.Nature communications · 2022Article
- Simulation of Energy-Resolved Mass Spectrometry Distributions from Surface-Induced Dissociation.Analytical chemistry · 2022Article
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6 authors.
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Abstract
The understanding of complex biological systems is still hampered by limited knowledge of biologically relevant quaternary protein structures. Here, we demonstrate quaternary structure determination in biological samples using a combination of chemical cross-linking, high-resolution mass spectrometry and high-accuracy protein structure modeling. This approach, termed targeted cross-linking mass spectrometry (TX-MS), relies on computational structural models to score sets of targeted cross-linked peptide signals acquired using a combination of mass spectrometry acquisition techniques. We demonstrate the utility of TX-MS by creating a high-resolution quaternary model of a 1.8 MDa protein complex composed of a pathogen surface protein and ten human plasma proteins. The model is based on a dense network of cross-link distance constraints obtained directly in a mixture of human plasma and live bacteria. These results demonstrate that TX-MS can increase the applicability of flexible backbone docking algorithms to large protein complexes by providing rich cross-link distance information from complex biological samples.
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