Mol-LLaMA extends large language models to comprehensively understand molecular structures beyond task-specific applications, creating a foundation for more versatile and intelligent molecular research tools.

• Addresses current limitations in molecular language models by covering fundamental characteristics of molecules
• Moves beyond narrowly-focused instruction datasets toward general-purpose molecular understanding
• Combines interdisciplinary knowledge across chemistry and biology for deeper molecular analysis
• Creates potential for accelerated drug discovery through improved molecular interpretation

This research matters for healthcare because enhanced molecular understanding directly impacts pharmaceutical development, potentially reducing drug discovery timelines and costs while enabling more targeted therapeutic approaches.

Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model