DrugGen 2: A disease-aware language model for enhancing drug discovery

Current computational approaches for drug design typically focus on generating molecules conditioned on specific targets or general molecular properties, often neglecting the influence of disease context on target behavior and therapeutic outcomes. To address this gap, we introduce DrugGen-2, a novel generative model that designs small molecules conditioned on both disease ontology and target protein sequences. DrugGen-2 was developed by fine-tuning a pre-trained GPT-2 model on a curated dataset

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ethics.ai (8 July 2026), “DrugGen 2: A disease-aware language model for enhancing drug discovery,” evidence record 1544, https://ethics.ai/record/1544 (originally published by HuggingFace Daily Papers).

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