| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | –0.58 pearson-correlation unitless · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Antisimmetry r(d-r)' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | –0.06 antisymmetry-bias kilocalorie-per-mole · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Bias' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.19 mean-absolute-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Direct MAE' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 0.41 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Direct r' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.6 root-mean-squared-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Direct RMSE' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.24 mean-absolute-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Reverse MAE' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 0.34 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Reverse r' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.69 root-mean-squared-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Reverse RMSE' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.21 mean-absolute-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Total MAE' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 0.5 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Total r' |
|---|
| Configuration: Dynamut (Pancotti et al. 2022) | Protocol: S669 direct and reverse ddG prediction (Pancotti et al. 2022 Table 1)
Dataset: S669: 669 single-point variants from ThermoMutDB in proteins under 25% identity to S2648 and VariBench, with reverse variants | 1.65 root-mean-squared-error kilocalorie-per-mole · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDynamut on S669 (Pancotti et al. 2022) protein-stability-20261009-protocol-pancotti2022-s669 Aggregation: Not reported Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset · Table 1, row 'Dynamut', column 'Total RMSE' |
|---|