Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study

The developed models can assist the pharmaceutical industry and regulatory agencies in predicting hERG blockage activity, thereby enhancing safety assessments and reducing the risk of adverse cardiac events associated with new drug candidates.