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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Protein–protein interaction site prediction by model ensembling with hybrid feature and self-attention

Fig. 2

The architecture of PPINet. The feature forming module (FFMod) extracts low level features from the input protein sequence. As an example, K-PseAA and PhyChem are applied in this showcase to extract the targeted residue feature and the context feature respectively. These features are then processed by a feature aggregation network (FANet). Based on the aggregated features, the predictor (PPIPred) performs classification

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BMC Bioinformatics

ISSN: 1471-2105

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