Stability-related DMS set benchmarked in Chu et al. 2024.
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7 evaluations · 7 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: ELASPIC-2 (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.47 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceELASPIC-2 on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'ELASPIC-2' (supervised group) |
| Configuration: ESM-2 (35M) (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.26 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceESM-2 (35M) on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'ESM-2 (35M)' (unsupervised group) |
| Configuration: ESM-2 (3B) (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.25 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceESM-2 (3B) on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'ESM-2 (3B)' (unsupervised group) |
| Configuration: ESM therm (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.04 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM therm on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'ESMtherm' (supervised group) |
| Configuration: MUPro (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.17 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceMUPro on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'MUPro' (supervised group) |
| Configuration: RaSP (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.41 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceRaSP on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'RaSP' (supervised group) |
| Configuration: Rosetta (Chu et al. 2024) | Protocol: PTEN dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: PTEN dataset: PTEN, protein abundance | 0.44 spearman-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceRosetta on PTEN dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-pten Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'PTEN dataset', column 'Rosetta' (supervised group) |
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.assay protein abundance Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population 5,083 sequences; protein length 403 Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Table 2; Methods Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.split Whole dataset Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description Stability-related DMS set benchmarked in Chu et al. 2024. Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name PTEN dataset: PTEN, protein abundance Context-only references | Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset Table 2; Methods Version: PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-10-10-7fcc3e48a123 · Record review: source checked
Stable ID: protein-stability-20261009-data-chu2024-pten