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Description:
Text2Mol is a natural language processing (NLP) model that aligns molecular structures with textual descriptions. It enables text-based molecular search and retrieval, allowing scientists to find relevant compounds based on textual descriptions. Text2Mol is particularly useful for patent mining, literature analysis, and AI-assisted molecule discovery.Topic Creator Motivation:
Join this discussion to explore how Text2Mol enables text-based molecular retrieval. Share challenges, discuss applications, and find solutions together.
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