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Protein structure dynamics by crosslinking mass spectrometry
Affiliation:1. Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany;2. Si-M/“Der Simulierte Mensch”, a Science Framework of Technische Universität Berlin and Charité - Universitätsmedizin Berlin, 10623 Berlin, Germany;3. Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK;1. State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Beijing Advanced Innovation Center for Structural Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China;2. School of Life Sciences, Cryo-EM Center, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China;1. Magnetic Resonance Center (CERM), University of Florence, Via Sacconi 6, Sesto Fiorentino, 50019, Italy;2. Department of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3, Sesto Fiorentino, 50019, Italy;3. Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Sacconi 6, Sesto Fiorentino, 50019, Italy;1. IBMC – Instituto de Biologia Molecular e Celular, Universidade do Porto, 4200-135, Porto, Portugal;2. Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal
Abstract:Crosslinking mass spectrometry captures protein structures in solution. The crosslinks reveal spatial proximities as distance restraints, but do not easily reveal which of these restraints derive from the same protein conformation. This superposition can be reduced by photo-crosslinking, and adding information from protein structure models, or quantitative crosslinking reveals conformation-specific crosslinks. As a consequence, crosslinking MS has proven useful already in the context of multiple dynamic protein systems. We foresee a breakthrough in the resolution and scale of studying protein dynamics when crosslinks are used to guide deep-learning-based protein modelling. Advances in crosslinking MS, such as photoactivatable crosslinking and in-situ crosslinking, will then reveal protein conformation dynamics in the cellular context, at a pseudo-atomic resolution, and plausibly in a time-resolved manner.
Keywords:Protein conformational dynamics  Crosslinking mass spectrometry  Photoactivatable crosslinking  Quantitative analysis  Protein structure modelling and prediction
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