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MolHop: Scaffold-Hopping Molecular Design with Agentic Reinforcement Learning
Molecular design is often formulated as an optimization problem over existing molecular spaces. However, molecular optimization and the discovery of structurally distinct replacement molecules represent two fundamentally different search problems. LLM-based molecular design agents typically perform
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