{
  "abstract": "Every protein has a unique stability landscape, but the physical consequences of mutation are governed by recurring biochemical constraints. We test whether a shared decoder, trained on measurements from diverse proteins, can interpret these constraints in an unseen target, enabling cross-protein transfer for initial experimental round prescreening. We present StabilityArc , which maps frozen ESMC-600M residue representations through a shared RoPE transformer to an Lx20 matrix of substitution effects; a symmetric, contact-aware residual aids in predicting epistasis in simultaneous substitutions. In 66 strict leave-one-protein-out evaluations covering 134,794 ProteinGym variants, StabilityArc achieves 0.7134 Spearman correlation, exceeding the strongest zero-shot baseline, ProSST-2048 (0.6526), by 0.0608. We further explore the utility of this method by providing the score as a prior for Kermut, achieving Spearman correlation of 0.8280 across three supervised split schemes, improving on Kermut's reported 0.8167.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.00742",
  "author_total": 3,
  "authors": [
    {
      "name": "Aaron L. Feller"
    },
    {
      "name": "Andrew D. Ellington"
    },
    {
      "name": "Claus O. Wilke"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a8gcmacv5j1b3.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.00742",
  "fulltext_url": null,
  "id": "a8gcmacv5j1b3",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.00742",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.LG"
    ],
    [
      "arxiv",
      "q-bio.BM"
    ],
    [
      "openalex",
      "1312|Protein Structure and Dynamics"
    ]
  ],
  "openalex": "W7215982616",
  "pdf_url": "https://arxiv.org/pdf/2610.00742",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/a8gcmacv5j1b3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:29:55Z",
      "native_id": "2610.00742",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.00742"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "arxiv:q-bio.BM",
      "subfield": "biophysics"
    }
  ],
  "title": "StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes",
  "title_text": "StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes",
  "type": "preprint",
  "updated_at": "2026-10-30T12:29:55Z",
  "url": "https://research.draconitic.com/paper/a8gcmacv5j1b3",
  "venue": "arXiv",
  "versions": []
}