Data for: hERG Liability Classification Models Using Machine Learning Techniques

Abstract

This file pertains 1) all SMILES(except the evaluation set-3 which contains the compound data from in-house proprietary projects) with respective pIC50 values that were used in training and evaluating the models2) list of descriptors that were used to build model