Published September 3, 2020 | Version 1
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Prediction of Promiscuity Cliffs Using Machine Learning

  • 1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn

Description

This download contains the datasets and the code used for the publication "Prediction of Promiscuity Cliffs Using Machine Learning". 

To reproduce the results please extract the zip file and setup a python environment using Anaconda.

 

  1. To create a python environment run the following command:
    conda env create -f environment.yml
  2. To reproduce the results run
    conda activate rdkit
    bash run_experiments.sh
    python run_svm_feature_elimination.py

 

Files

pc-pairs.zip

Files (2.9 GB)

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md5:5e7f4deb1f1492ab06489154ee9f3741
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Additional details

Related works

Is referenced by
Journal article: 10.1002/minf.202000196 (DOI)