BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1)
Spearman correlation between predicted and measured values for seven methods on BglB dataset.
Overview
Spearman correlation between predicted and measured values for seven methods on BglB dataset.
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7 recorded evaluations, 7 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
Results are available, but no reviewed comparison panel is linked in this release.
All evaluations
7 evaluations · 7 results. Different protocols are not a single leaderboard.
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: ELASPIC-2 (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.11 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'ELASPIC-2' (supervised group) |
| Configuration: ESM-2 (35M) (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.12 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'ESM-2 (35M)' (unsupervised group) |
| Configuration: ESM-2 (3B) (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.12 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'ESM-2 (3B)' (unsupervised group) |
| Configuration: ESM therm (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.11 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'ESMtherm' (supervised group) |
| Configuration: MUPro (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.02 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'MUPro' (supervised group) |
| Configuration: RaSP (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | 0.02 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'RaSP' (supervised group) |
| Configuration: Rosetta (Chu et al. 2024) | Protocol: BglB dataset stability ranking, Spearman correlation (Chu et al. 2024 Table 1) Dataset: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm) | -0.01 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 BglB dataset (Chu et al. 2024) protein-stability-20261009-protocol-chu2024-bglb Aggregation: Not reported Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Table 1, row 'BglB dataset', column 'Rosetta' (supervised group) |
Source checking is not independent reproduction. Release 2026-10-10-7fcc3e48a123.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Recorded evaluations
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Baseline coverage
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- Author-reported evaluations
- 1
- External evaluations
- 6
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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)
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Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-10-7fcc3e48a123 · Record review: source checked
1 source records and release history
- Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset · Original source · PLOS Computational Biology 20(7):e1012248, published 2024-07-22; PMC11293664 full-text XML
Technical metadata and extraction receipts
Stable ID: protein-stability-20261009-protocol-chu2024-bglb
- areas
- proteins-complexes
- contexts
- research
- protocol
- Each method scores the variants and Spearman correlation is computed against the measured melting temperature (Tm).
- version
- Table 1
- metric
- spearman-correlation
- limitations
- ESM therm was fine-tuned by the authors of this paper; the other methods were run by them as comparators.; Only Spearman correlation is printed; no RMSE, calibration or uncertainty.; The larger-protein benchmark was limited to six ProteinGym datasets and BglB because of Rosetta's compute cost (Methods P25).; Single protein (Beta-glucosidase (BglB), 445 residues); the measured quantity is melting temperature (Tm), not ddG of folding.; ESM therm was fine-tuned on domains of at most 72 residues, so this is an out-of-range test for it.
- source locator
- Table 1, row 'BglB dataset'; Table 2
Related records
- uses data: BglB dataset: Beta-glucosidase (BglB), melting temperature (Tm)
- assessment: ELASPIC-2 on BglB dataset (Chu et al. 2024)
- assessment: ESM-2 (35M) on BglB dataset (Chu et al. 2024)
- assessment: ESM-2 (3B) on BglB dataset (Chu et al. 2024)
- assessment: ESM therm on BglB dataset (Chu et al. 2024)
- assessment: MUPro on BglB dataset (Chu et al. 2024)
- assessment: RaSP on BglB dataset (Chu et al. 2024)
- assessment: Rosetta on BglB dataset (Chu et al. 2024)
- assessed by: Assess methods for protein stability experiments