{
  "id": 7606,
  "url": "https://arxiv.org/abs/2603.06748v2",
  "title": "Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment",
  "summary": "Protein sequence design must balance designability, defined as the ability to recover a target backbone, with multiple, often competing, developability properties such as solubility, thermostability, and expression. Existing approaches address these properties through post hoc mutation, inference-time biasing, or retraining on property-specific subsets, yet they are target dependent and demand substantial domain expertise or careful hyperparameter tuning. In this paper, we introduce ProtAlign, a",
  "authors": "Xiaoyang Hou, Junqi Liu, Chence Shi, Xin Liu, Zhi Yang, Jian Tang",
  "category": "research",
  "topics": "safety-alignment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-06T10:57:51.000Z",
  "fetched_at": "2026-07-14T16:33:21.049Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7606",
  "original_url": "https://arxiv.org/abs/2603.06748v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}