Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction
Robert M. Bolz, Elijah H. Day, Zachary C. Drake, Sophie R. Harvey, Vicki Hopper Wysocki, Steffen Lindert
The paper develops SIDFold, a deep learning model that integrates SID-nMS data with AlphaFold to improve protein complex structure prediction accuracy.
bioRxiv · Jun 29, 2026 · PreprintBiochemistry