Explaining early folding through interpretable machine learning
Prediction method:
EF fragment:
Folded state:
This page shows summarised information on the rules the SlGb predictor uses to predict whether an amino acid fold early given its local sequence context. The data shown is for the Default: PISCES set of 3020 proteins Scrambled: Default set, scrambled Denovo: 98 de novo designed proteins dataset, you can change dataset by changing the selection. To see the data for a specific fragment of the currently selected dataset for a specific prediction method, use the selection on the left-hand side and press 'Submit'.
Click for information on below plot
This diagram shows the key features that the machine learning identified for the prediction for the complete default dataset by the SlGb method.