Steffen Lindert

Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction

The paper develops SIDFold, a deep learning model that integrates SID-nMS data with AlphaFold to improve protein complex structure prediction accuracy.

Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling

This paper introduces CRIM, a scoring function combining cryo-EM and IM-MS data to improve monomeric protein structure prediction, showing reduced RMSD and increased TM-score on both simulated and experimental datasets.

Dynamic-Structure Redesign of Calmodulin Reveals Mechanistic Constraints on Ryr2 Regulation

The paper redesigns calmodulin to improve its function while preserving conformational dynamics, showing that structural flexibility is essential for physiological regulation.

Ion Mobility Mass Spectrometry Guided Modeling with AlphaFold and Rosetta Improves Protein Complex Structure Prediction

The paper improves protein complex structure prediction by integrating ion mobility mass spectrometry data with AlphaFold and Rosetta, achieving better RMSD values for many complexes.

Deep-Learning Structure Elucidation from Single-Mutant Deep Mutational Scanning

This paper introduces DMS-Fold, a method that uses deep mutational scanning data to improve AlphaFold2 predictions, achieving better results for most protein targets.