Table 1.
Comparison of predictions
Methods | Sensitivity (percentage of effective sites correctly predicted) | Specificity (percentage of ineffective sites correctly predicted) | Positive predictive value (%) | Negative predictive value (%) | Prevalence (percentage predicted to be effective) |
---|---|---|---|---|---|
Duplex + GC | 32 | 75 | 36 | 71 | 28 |
Accessibility + duplex | 48 | 81 | 55 | 78 | 28 |
Duplex | 84 | 49 | 43 | 87 | 61 |
Duplex-end energies had the best sensitivity, but this was offset by a low selectivity. Overall, the best predictions were made using secondary structure accessibility predictions and duplex-end energy differential. This method had the highest selectivity and the best positive predictive value (reliability of positive predictions).