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Autoregressive convolutional neural networks such as WaveNet are powerful models that have recently achieved state-of-the-art results on both text-to-speech tasks and language modelling. In spite of this, they have so-far been unable to generate …

Combining single molecule FRET and single turnover studies with cell studies and docking simulations we advance our understanding on the intricate role of conformational dynamics on activity and specificity, and eventually how pathogenic mutations and small molecule ligand interactions control metabolic disorder and biosynthetic pathways.

DeepFRET, a new deep learning-based platform for standardized, automated, and unbiased single-molecule FRET data analysis, seeks to lower the threshold for smFRET expertise, allowing for a greater number of scientists to take advantage of this powerful technique.