Table 1. Comparison of existing aptamer predictive studies.
Algorithm | Aptamer Dataset | No-aptamer Dataset | Some Features | Classifier | MCC |
---|---|---|---|---|---|
This Study | DNA aptamers (n = 238) | Protein binding DNA (n = 4885) | 6-mers for all sequences, Sequence features | Support Vector Machines | 0.896 |
[35] | DNA/RNA aptamers (n = 159) Small Molecule Targets (n = 20) |
Randomly paired aptamers to Small Molecule targets | 1,2-mers for aptamers, Physical-chemical properties of targets | Nearest Neighbors | 0.670 |
[57] | DNA/RNA aptamers (n = 725) Protein Targets (n = 164) |
Randomly paired aptamers to protein targets | 1,2-mers for aptamers, 1,2-mers for targets Physical-chemical properties of targets | Random Forest | 0.461 |