Table 3 The evaluation results of quality assessment of protein models using different SOV scores as machine learning features
Stage 1 | Stage 2 | MCC | |||||
|---|---|---|---|---|---|---|---|
wmPMCC | Ave loss | Ave ΔGDT | wmPMCC | Ave loss | Ave ΔGDT | ||
Basic | 0.70 | 0.102 | 0.00381 | 0.39 | 0.068 | 0.00083 | 0.736 |
Basic + SOV’99 | 0.71 | 0.093 | 0.00368 | 0.42 | 0.074 | 0.00083 | 0.733 |
Basic + SOV_refine (λ = 0.1) | 0.71 | 0.096 | 0.00368 | 0.41 | 0.073 | 0.00083 | 0.740 |
Basic + SOV_refine (λ = 1) | 0.71 | 0.084 | 0.00361 | 0.40 | 0.066 | 0.00084 | 0.750 |