{
  "id": 12308,
  "url": "https://arxiv.org/abs/2607.18144",
  "title": "Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints",
  "summary": "Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial constraints, to generate candidate binding molecules. While diffusion models have dominated as a leading paradigm for high-quality 3D molecule generation, LLM-based methods are rapidly emerging in molecular design and have shown competitive performance in pocket-conditioned molecular generation. However, their ability to reason about physics and 3D spatial environments is largely",
  "authors": "Thomas MacDougall, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Maxim Malkov, Vladimir Aladinskiy",
  "category": "research",
  "topics": "healthcare,environment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-19T20:00:00.000Z",
  "fetched_at": "2026-07-22T05:10:49.469Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/12308",
  "original_url": "https://arxiv.org/abs/2607.18144",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}