Table 1.
Examples of assessment of secondary structure predictions using Q3, SOV’99, and SOV_refine (λ = 1)
Index | Sequence | Q3 | SOV’99 | SOV_refine (λ = 1) |
---|---|---|---|---|
Reference | CHHHHHHHHHHC | – | – | – |
Predicted 1 | CHCHCHCHCHCC | 0.583 | 0.125 | 0.149 |
Predicted 2 | CHHHCHHHCHHC | 0.833 | 0.406 | 0.371 |
Predicted 3 | CHHCCHHHHHCC | 0.75 | 0.523 | 0.464 |
Predicted 4 | CCCHHHHCCCCC | 0.50 | 0.544 | 0.459 |
Predicted 5 | CCCHHHHHCCCC | 0.583 | 0.632 | 0.567 |
Predicted 6 | CCCHHHHHHCCC | 0.667 | 0.806 | 0.678 |
Predicted 7 | CCCHHHHHHHCC | 0.75 | 0.903 | 0.797 |
Predicted 8 | CCCHHHHHHHHC | 0.833 | 0.944 | 0.937 |
Notice that predicted 3 and 4 indicate another different feature between SOV’99 and SOV_refine. Predicted 3 correctly predicts seven helices (in two segments) while Predicted 4 correctly predicts four helices (in one segment). In this situation, SOV_refine assigns a higher score to predicted 3 as seven correct helices are more consistent to the reference’s 10 helices compared to predicted 4’s four helices. However, SOV’99 in this case assigns a higher score to predicted 4 showing it prefers one segment prediction even though the number of accurately predicted residues is largely different