Pretrained protein language models choose between sequence novelty and structural completeness.
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| Title: | Pretrained protein language models choose between sequence novelty and structural completeness. |
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| Authors: | Subramanian AM; Division of Biology and Biological Engineering, California Institute of Technology, CA, USA., Martinez ZA; Division of Biology and Biological Engineering, California Institute of Technology, CA, USA., Thomson M; Division of Biology and Biological Engineering, California Institute of Technology, CA, USA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Oct 03. Date of Electronic Publication: 2025 Oct 03. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2692-8205 |
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| DOI: | 10.1101/2025.10.01.679905 |
