Frontiers in Structural Biology: Techniques, Discoveries, and Applications
The following presentations on structural biology provide insights into recent advancements and methodologies. Prof. Juri Rappsilber’s presentation discusses the integration of cross-linking mass spectrometry with AlphaFold 2 to enhance protein structure prediction. This approach leverages cross-linking data to improve the accuracy of predicted structures, particularly for proteins with multiple conformations, offering a more detailed understanding of protein interactions and dynamics.
The second presentation from Hugo Gizardin-Fredon focuses on the application of cryo-electron tomography and mass spectrometry to visualize cellular structures at a molecular level. This combination allows for high-resolution imaging of protein complexes within cells, providing valuable insights into their spatial organization and interactions in different cellular environments.
The final presentation from Dr Kish Adoni highlights the development of novel cross-linkers and their application in structural biology. By using different chemistries, researchers can obtain more accurate and detailed representations of protein complexes, enhancing the understanding of their structural and functional relationships. These advancements collectively push the boundaries of structural biology, offering new tools and techniques for studying complex biological systems.
Learning points :
- Enhanced Protein Structure Prediction: Learn how integrating cross-linking mass spectrometry with AlphaFold 2 improves the accuracy of protein structure predictions, especially for proteins with multiple conformations.
- High-Resolution Cellular Imaging: Discover the application of cryo-electron tomography combined with mass spectrometry to visualize protein complexes within cells, providing insights into their spatial organization and interactions.
- Novel Cross-Linkers in Structural Biology: Understand the development and use of novel cross-linkers to obtain more accurate and detailed representations of protein complexes, enhancing the study of their structural and functional relationships.
Who should attend?
- Structural Biologists and Biochemists: Researchers focused on protein structure and function will gain insights into new techniques and tools for enhancing structural predictions and analyses.
- Cellular and Molecular Biologists: Professionals studying cellular structures and protein interactions will benefit from advanced imaging methods and the integration of mass spectrometry data.
- Bioinformaticians and Computational Biologists: Those working on computational models of protein structures will learn about the latest advancements in predictive algorithms and cross-linking methodologies.
Additional Webinars
Take advantage of our growing library of convenient and educational recorded webinars and resources. Visit our webinars page
Presenter: Prof. Juri Rappsilber (Speaker Title, Technische Universität Berlin)
Juri Rappsilber has been one of the pioneers of crosslinking mass spectrometry ever since publishing possibly the first investigation of a multi-protein complex by this technique in 2000. He has since pushed the boundaries of the approach, emphasising accuracy and transparency. Today, he is focussing on joining crosslinking with modelling to obtain atomic structures of multi-protein complexes in their cellular environment.
Presenter: Hugo Gizardin-Fredon (PhD Student, University of Strasbourg)
Hugo GIZARDIN-FREDON is PhD Student in structural mass spectrometry at the BioOrganic Mass Spectrometry Lab (CNRS and University of Strasbourg). His work aims at revisiting the different steps of cross-linking mass spectrometry (XL-MS) workflows for structural biology and interactomics.
Presenter: Dr Kish Adoni (University College London)
Kish completed his PhD in 2023, in which he developed mass spectrometry techniques for the identification of novel protein Post-Translational Modifications, as the first PhD student of Dr Aneika Leney. He then began his Post Doc with Prof Konstantinos Thalassinos at University College London, where he develops and exploits proteomics, crosslinking MS, and integrative protein structure prediction techniques in the context of cellular function and the development of disease phenotypes.
