PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them into deep learning models to predict drug-side effect associations.
In benchmark testing, PromptSE improved prediction performance, while PromptSE+ further boosted results by adding multi-modal drug information and graph-based refinement for sparse data.
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