This research demonstrates how generative large language models can be applied to DNA sequence analysis to predict antimicrobial resistance genes, offering more flexibility than traditional encoder-based models.

• Explores decoder-based generative models for DNA classification tasks
• Evaluates effectiveness compared to established models like DNABERT
• Provides a novel approach to genomic sequence analysis
• Expands LLM applications into specialized biological domains

Medical Impact: This approach could accelerate antimicrobial resistance detection, potentially improving antibiotic development and treatment strategies for infectious diseases in healthcare settings.

Can Large Language Models Predict Antimicrobial Resistance Gene?