Published July 24, 2019 | Version v1
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Predicting Kinase Inhibitor Resistance: Physics-Based and Data-Driven Approaches (Data S3)

  • 1. Max Planck Institute for Biophysical Chemistry

Description

Input files and Jupyter notebooks used for the training and testing of the machine learning model discussed in "Predicting Kinase Inhibitor Resistance: Physics-Based and Data-Driven Approaches" by Aldeghi, Gapsys, and de Groot (ACS Cent. Sci. 2019).

Files

Data_S3.zip

Files (831.8 MB)

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