Protocol

DeepProtein Stability (TAPE): ρ ↑

Protein stability regression, as distributed with TAPE. Scored by Spearman rank correlation on the task's test split.

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17 recorded evaluations, 17 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

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Results

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All evaluations

17 evaluations · 17 results. Different protocols are not a single leaderboard.

Protocol: DeepProtein Stability (TAPE): ρ ↑ · Dataset: Stability (TAPE)

Sorted by Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configuration	Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split)
Prot-T5-XL (DeepProtein benchmark)Evaluation	0.767±0.008 (best in column)
Deep Prot-T5 (DeepProtein benchmark)Evaluation	0.725
CNN (DeepProtein benchmark)Evaluation	0.715 ± 0.025
ESM-2-650M (DeepProtein benchmark)Evaluation	0.689 ± 0.020
ESM-1b (DeepProtein benchmark)Evaluation	0.682 ± 0.077
ProtBert (DeepProtein benchmark)Evaluation	0.646 ± 0.064
CNN-RNN (DeepProtein benchmark)Evaluation	0.635±0.025
GCN (DeepProtein benchmark)Evaluation	0.443 ± 0.017
Transformer (DeepProtein benchmark)Evaluation	0.375±0.052
NeuralFP (DeepProtein benchmark)Evaluation	0.373±0.023
MPNN (DeepProtein benchmark)Evaluation	0.118±0.061
GAT (DeepProtein benchmark)Evaluation	0.101±0.001
LlaSMol-Mistral-7B (DeepProtein benchmark)Evaluation	0.094
PAGTN (DeepProtein benchmark)Evaluation	0.088±0.194
AttentiveFP (DeepProtein benchmark)Evaluation	0.013±0.004
ChemLLM-7B (DeepProtein benchmark)Evaluation	−0.187
Graphormer (DeepProtein benchmark)Evaluation	OOM

All 17 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: AttentiveFP (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.013±0.004 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.004 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source AttentiveFP on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'AttentiveFP', column group 'Stability', column 'ρ ↑'
Configuration: ChemLLM-7B (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	−0.187 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ChemLLM-7B on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'ChemLLM-7B', column group 'Stability', column 'ρ ↑'
Configuration: CNN (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.715 ± 0.025 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.025 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN', column group 'Stability', column 'ρ ↑'
Configuration: CNN-RNN (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.635±0.025 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.025 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source CNN-RNN on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN-RNN', column group 'Stability', column 'ρ ↑'
Configuration: Deep Prot-T5 (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.725 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Deep Prot-T5 on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'Deep Prot-T5', column group 'Stability', column 'ρ ↑'
Configuration: ESM-1b (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.682 ± 0.077 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.077 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ESM-1b on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'ESM-1b', column group 'Stability', column 'ρ ↑'
Configuration: ESM-2-650M (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.689 ± 0.020 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.020 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ESM-2-650M on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'ESM-2-650M', column group 'Stability', column 'ρ ↑'
Configuration: GAT (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.101±0.001 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GAT on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'GAT', column group 'Stability', column 'ρ ↑'
Configuration: GCN (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.443 ± 0.017 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.017 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source GCN on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'GCN', column group 'Stability', column 'ρ ↑'
Configuration: Graphormer (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	OOM Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Graphormer on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'Graphormer', column group 'Stability', column 'ρ ↑'
Configuration: LlaSMol-Mistral-7B (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.094 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source LlaSMol-Mistral-7B on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'LlaSMol-Mistral-7B', column group 'Stability', column 'ρ ↑'
Configuration: MPNN (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.118±0.061 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.061 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source MPNN on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'MPNN', column group 'Stability', column 'ρ ↑'
Configuration: NeuralFP (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.373±0.023 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.023 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source NeuralFP on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'NeuralFP', column group 'Stability', column 'ρ ↑'
Configuration: PAGTN (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.088±0.194 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.194 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source PAGTN on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'PAGTN', column group 'Stability', column 'ρ ↑'
Configuration: Prot-T5-XL (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.767±0.008 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.008 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Prot-T5-XL on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'Prot-T5-XL', column group 'Stability', column 'ρ ↑'
Configuration: ProtBert (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.646 ± 0.064 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.064 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source ProtBert on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'ProtBert', column group 'Stability', column 'ρ ↑'
Configuration: Transformer (DeepProtein benchmark)	Protocol: DeepProtein Stability (TAPE): ρ ↑ Dataset: Stability (TAPE)	0.375±0.052 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.052 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Figure 3's caption calls the regression metric 'Spearman (Pearson) Coefficient' while the Evaluation metrics section defines rho as Spearman rank correlation and R2 separately. The section's definition is taken as authoritative and the rho columns are recorded as Spearman; the caption wording is noted so a reader of the figure is not surprised.DeepProtein: deep learning library and benchmark for protein sequence learning · Tables 2, 4 and 6 column headings 'rho' and 'R2'; Figure 3 caption Methods, coverage and source Transformer on DeepProtein Stability (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-stability-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'Transformer', column group 'Stability', column 'ρ ↑'

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Author-reported evaluations: 17

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DeepProtein: deep learning library and benchmark for protein sequence learning · Original source · Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)

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Technical metadata and extraction receipts

Stable ID: lit-protein-20261011-deepprotein-protocol-stability-rho

areas: protein-function
contexts: research
protocol: Train on the task's training split and score Stability (TAPE) on its test split; five random seeds per method, mean and standard deviation reported.
metric: spearman-correlation
metric direction: higher
unit: unitless
metric qualifier: Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split
version: As published 2025
source locator: Stability (TAPE): column 'ρ ↑' of its table in Tables 2 to 8
replicates: Five random seeds (table footnote a: 'we used five different random seeds to perform independent runs, reporting the average results along with their standard deviations')
limitations: Author-reported results: the DeepProtein authors ran every method.
dataset: Stability (TAPE); train/valid/test 53571/2512/12851

Related records

part of: DeepProtein benchmark
uses data: Stability (TAPE)
assessment: AttentiveFP on DeepProtein Stability (TAPE) (ρ ↑)
assessment: ChemLLM-7B on DeepProtein Stability (TAPE) (ρ ↑)
assessment: CNN on DeepProtein Stability (TAPE) (ρ ↑)
assessment: CNN-RNN on DeepProtein Stability (TAPE) (ρ ↑)
assessment: Deep Prot-T5 on DeepProtein Stability (TAPE) (ρ ↑)
assessment: ESM-1b on DeepProtein Stability (TAPE) (ρ ↑)
assessment: ESM-2-650M on DeepProtein Stability (TAPE) (ρ ↑)
assessment: GAT on DeepProtein Stability (TAPE) (ρ ↑)
assessment: GCN on DeepProtein Stability (TAPE) (ρ ↑)
assessment: Graphormer on DeepProtein Stability (TAPE) (ρ ↑)
assessment: LlaSMol-Mistral-7B on DeepProtein Stability (TAPE) (ρ ↑)
assessment: MPNN on DeepProtein Stability (TAPE) (ρ ↑)
assessment: NeuralFP on DeepProtein Stability (TAPE) (ρ ↑)
assessment: PAGTN on DeepProtein Stability (TAPE) (ρ ↑)
assessment: Prot-T5-XL on DeepProtein Stability (TAPE) (ρ ↑)
assessment: ProtBert on DeepProtein Stability (TAPE) (ρ ↑)
assessment: Transformer on DeepProtein Stability (TAPE) (ρ ↑)
assessed by: Assess methods for protein stability experiments

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