Supplemental_Code.zip contains all the relevant code for reproducing the results in "Ultra high diversity factorizable libraries for efficient therapeutic discovery". A complementary file named “Supplemental_Data.zip” contains the relevant training/test data. Please visit https://github.com/gifford-lab/FactorizableLibrary for additional information.

Contents:
GenerateLibrary.ipynb - notebook with code for running SAPS
TrainModel.ipynb - notebook with code for training model