TABLE 1.
The best-14 feature types determined to be the most effective to use with MBC-Attention for predicting the MIC of a peptide against E. coli a
| Feature groups | Type | Type description | RAAC no. of clusters | No. of features | |
|---|---|---|---|---|---|
| PseKRAAC | 8 | Grantham distance matrix (saturation) (23) | 9 | 3 | 81 |
| PseKRAAC | 8 | Grantham distance matrix (saturation) | 7 | 3 | 49 |
| QSOrder | – | Quasi-sequence-order (24) | – | 4 | 343 |
| QSOrder | – | Quasi-sequence-order | – | 3 | 343 |
| QSOrder | – | Quasi-sequence-order | – | 2 | 343 |
| QSOrder | – | Quasi-sequence-order | – | 1 | 343 |
| QSOrder | – | Quasi-sequence-order | – | 0 | 343 |
| PseKRAAC | 5 | BLOSUM50 matrix (25) | 15 | 4 | 225 |
| PseKRAAC | 7 | Metric multi-dimensional scaling (MMDS) (26) | 10 | 3 | 100 |
| PseKRAAC | 5 | BLOSUM50 matrix | 8 | 2 | 64 |
| PseKRAAC | 3B | Whelan and Goldman (WAG) matrix (27) | 9 | 3 | 81 |
| PseKRAAC | 2 | BLOSUM 62 matrix (28) | 15 | 4 | 225 |
| PseKRAAC | 2 | BLOSUM 62 matrix | 8 | 2 | 64 |
| PseKRAAC | 8 | Grantham distance matrix (saturation) | 14 | 1 | 196 |
a
The symbol "-" denotes that no parameters are required for feature generation.