Co-folding model guided by structural proteomics

1. 1Apply Cross-Linking Mass Spectrometry (XL-MS) to gather spatial insights on protein complexes
2. 2Use Hydrogen-Deuterium Exchange (HDX-MS) to gather dynamic insights on protein complexes
3. 3Build a co-folding model that integrates structural proteomics data
4. 4Run simulations to predict protein complex structures
5. 5Configure the model to optimize protein design and induced proximity modalities
6. 6Test the model's performance using experimental data

Structural biologists, protein engineers, and AI researchers on a team can benefit from this approach to improve protein structure prediction and design

💡 Integrating structural proteomics data into co-folding models can significantly improve protein structure prediction for complexes

🧬 Improve protein structure prediction for complexes using co-folding models guided by structural proteomics! 💡