Table 2.
Ligand | Method | AUPRC | AUC | Mean domain AUPRC | Mean domain AUC |
---|---|---|---|---|---|
DNA | dSPRINT | 0.5450 | 0.8853 | 0.3866 | 0.7618 |
Agg. Dr PIP | 0.2697 | 0.8219 | 0.2696 | 0.7843 | |
Agg. DRNApred | 0.1262 | 0.7176 | 0.2011 | 0.7175 | |
peptide | dSPRINT | 0.1522 | 0.6836 | 0.2345 | 0.6331 |
Agg. SCRIBER | 0.0409 | 0.5256 | 0.0867 | 0.4265 | |
Agg. SSPIDER | 0.0545 | 0.4668 | 0.1255 | 0.4606 |
dSPRINT’s performance on independent benchmark datasets of 727 DNA-binding domain positions and 1,522 peptide-binding domain positions as compared to baseline methods that aggregate, by domain position, per-amino acid DNA or peptide-binding predictions made by state-of-the-art methods for predicting interaction sites within protein sequences. For all methods, AUPRC and AUC is computed based on positions across all domains together, and the mean per-domain AUPRC and AUC is computed based on considering positions in each domain separately and then averaging. For three out of four measures, dSPRINT outperforms aggregating DNA-binding scores by either DRNApred or Dr PIP, and for all four measures dSPRINT outperforms aggregating peptide-binding scores by either SCRIBER or SPPIDER.