The chemical design of antimicrobial ionic liquids guided by machine learning: a review on balancing efficacy and toxicity

Key Points

• This review aims to explore the development of antimicrobial ionic liquids while addressing efficacy and toxicity concerns.
• Reviewed existing literature on ionic liquids and their antimicrobial properties
• Analyzed machine learning approaches for optimizing chemical design
• Evaluated strategies to balance efficacy and toxicity in antimicrobial agents
• Identified key chemical properties that influence antimicrobial efficacy
• Discussed various machine learning algorithms applicable to ionic liquid design
• Highlighted the importance of balancing antimicrobial efficacy with potential toxicity