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Poster

Cross-Linking Mass Spectrometry and Evolutionary Couplings: A Hybrid Approach for Interaction Prediction and Structure Elucidation of Protein- Protein Complexes

MPG-Autoren
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Elhabashy,  H       
Research Group Biomolecular Interactions, Max Planck Institute for Developmental Biology, Max Planck Society;

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Kohlbacher,  O       
Research Group Biomolecular Interactions, Max Planck Institute for Developmental Biology, Max Planck Society;

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Zitation

Elhabashy, H., & Kohlbacher, O. (2019). Cross-Linking Mass Spectrometry and Evolutionary Couplings: A Hybrid Approach for Interaction Prediction and Structure Elucidation of Protein- Protein Complexes. Poster presented at 9th Symposium on Structural Proteomics (9SSP), Göttingen, Germany.


Zitierlink: https://hdl.handle.net/21.11116/0000-000C-2112-A
Zusammenfassung
Almost all biological processes are effectively mediated by protein-protein interactions (PPIs). Understanding PPIs requires 3D information about protein-protein complexes and interfaces. High-resolution experimental approaches still have comparatively low throughput and computational approaches still have robustness issues. Hybrid approaches may offer immediate solutions that outperform standalone approaches. Combining sparse data from cross-linking mass spectrometry and evolutionary coupling might be an effective solution for a large-scale interaction prediction and structural elucidation of PPIs, as the methods are comparatively fast and cost-effective. The information generated by these two approaches is thought to be complimentary. For instance, evolutionary couplings can provide short-range constraints between the key interacting residues at the interface while cross-linking mass spectrometry can provide long-range constraints about the topological arrangement of the interacting domains. This project aims to conduct a proof of concept study combining cross-linking mass spectrometry and evolutionary coupling towards the better de novo prediction, structure elucidation and modeling of protein-protein complexes.