Published September 3, 2020
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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.
- To create a python environment run the following command:
conda env create -f environment.yml
- 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)