Transfer learning enables discovery of sub-micromolar antibacterials for ESKAPE pathogens from ultra-large chemical spaces

Key Points

• Discovery of sub-micromolar antibacterials targets ESKAPE pathogens, crucial in fighting antimicrobial resistance.
• Transfer learning was applied effectively, revealing novel agents from an extensive chemical database.
• The research highlights gaps in publicly available antibacterial data, which hinders antibiotic discovery.
• Insights may lead to improved treatment options in clinical settings, supporting global health initiatives.