Jiratchaya Nakbang

Machine learning-based quantitative structure–activity relationship model for antibiotic prediction and discovery

This study combines a QSAR model and machine learning algorithms to predict antibacterial activities of potential novel drugs based on chemical information and revealed that descriptors relating to the electrotopology and β-lactam structures of compounds were the top contributors to model predictability.