Interpretable biophysical neural networks of transcriptional activation domains separate roles of protein abundance and coactivator binding.
Deep neural networks have improved many difficult prediction tasks in biology, but it remains challenging to interpret these networks and learn the molecular mechanisms. Here, we address interpretation challenges by building biophysical neural networks for predicting activation domains, the regions within transcription...