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Demonstrates enhanced molecule generation from text in small molecules, suggesting a novel tool for chemistry.
, which integrates language and diffusion models for text-guided small molecule generation. This method uses textual conditions to guide molecule generation, enhancing both stability and diversity. Experimental results show TextSMOG's proficiency in capturing and utilizing information from textual descriptions, making it a powerful tool for generating 3D molecular structures in response to complex textual customizations.
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Luo et al. (2024) studied this question.
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