https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk/Head https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk/assertion https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk/provenance https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk/pubinfo https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAv5YYsa6Y_I9R_D3N9bWkUaSjF3kmbiTh5mOAue3VaIk/assertion https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/dc/terms/title Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#AutomatedRetrosynthesisPlanningAgent https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#MultibranchedReactionPathwaySearchAlgorithm https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#InContextLearning https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#MemoizedDepthFirstSearch https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#PromptEngineering https://doi.org/10.48550/arXiv.2501.08897 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration https://doi.org/10.48550/arXiv.2501.08897 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#AutomatedRetrosynthesisPlanningAgent http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#AutomatedRetrosynthesisPlanningAgent http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#AutomatedRetrosynthesisPlanningAgent http://www.w3.org/2000/01/rdf-schema#comment This method proposes a comprehensive agent system that integrates LLMs for information extraction, entity alignment, and pathway evaluation/recommendation, with KGs for structured storage, efficient retrieval, and robust pathway construction and search. 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