Table 4 Different encodings from deep learning models (see Table 1 for details)
From: Encodings and models for antimicrobial peptide classification for multi-resistant pathogens
| Encoding | Description | Summary | Used in | Used along with |
|---|---|---|---|---|
| ProtVec | amino acid sequences are encoded as a distributed representation of k-mers |
Density: + Information: + | [124] | |
| Voxel | structures of proteins are encoded as voxels |
Density: o Information: + | [125, 126] | |
| Matrix | mimicks images by regarding the respective entries of PSSMs as pixel densities |
Density: o Information: + | [127, 129, 130] | PSSM |
| Autoencoder | extracts representative characteristics in order to reproduce the input as good as possible |
Density: + Information: o | [131] |