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] | Â |
Voxel | structures of proteins are encoded as voxels | Density: o Information: + |  | |
Matrix | mimicks images by regarding the respective entries of PSSMs as pixel densities | Density: o Information: + | PSSM | |
Autoencoder | extracts representative characteristics in order to reproduce the input as good as possible | Density: + Information: o | [131] | Â |