LLM-Guided Dynamic Action Spaces for Synthesizable Molecular Optimization
The MolReAct framework uses large language models to optimize molecular design for real-world synthesizability. By combining Llama-3.3-70B for chemical reasoning and Qwen-3-4B for decision-making, the system suggests valid reaction pathways using validated templates, ensuring AI-designed drugs can be manufactured in a laboratory using available building blocks.