Proceedings of the National Academy of Sciences · 2023 · 72 citations · 77 references
Protein–protein InteractionsStructural BioinformaticsBiological Mass SpectrometryProtein AnalysisMolecular BiologyAnalytical UltracentrifugationProteomic TechnologyProtein FoldingProtein ComplexesProteomicsBiochemistryInteractomicsCross-linking Mass SpectrometryProtein ModelingProtein Structure PredictionBioinformaticsProtein BioinformaticsStructural BiologyHuman CellNatural SciencesMass SpectrometryProtein Mass SpectrometryProtein EngineeringCryoelectron MicroscopyCellular BiochemistrySystems BiologyMedicine
Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or-in the case of complexes-simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein-protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function.
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Highly accurate protein structure prediction with AlphaFold
John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 42K citations · Full text
Helen M. Berman · Nucleic Acids Research · 2000 · 38.9K citations
Biological Database, Biochemistry, Structural Bioinformatics +12
<i>MolProbity</i>: all-atom structure validation for macromolecular crystallography
Vincent B. Chen, W.B. Arendall, Jeffrey J. Headd et al. · Acta Crystallographica Section D Biological Crystallography · 2009 · 14.4K citations · Full text
X-ray Crystallography, Crystal Structure, Structural Bioinformatics +16