Michael P. Latham

SPINDLE: Unlocking protein dynamics from single-field NMR relaxation data using a deep learning ensemble

SPINDLE, an ensemble of deep neural networks trained on a large synthetic set of NMR relaxation data predicts both fast and slow timescale dynamics parameters from a single set of three relaxation datasets using the ensemble for error estimation, and demonstrates a strong correlation to ground truth dynamics parameters on synthetic benchmarks.