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Table 1 Summarization of different feature types and their vector representation dimensions

From: Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features

Feature types

Dimensionality

Position-specific scoring matrix (PSSM)

340

Position-specific scoring matrix normalized by logistic function (LogisticPSSM)

340

Bi-profiled binary amino acid composition (Bipro-aa)

34

Bi-profiled predicted secondary structure (BiPro-ss)

34

Bi-profiled predicted residue disorder (BiPro-dis)

34

Bi-profiled predicted residue solvent accessibility (Bipro-sa)

34