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Fig. 2 | BMC Bioinformatics

Fig. 2

From: AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders

Fig. 2

Architecture overview of the proposed model, AptaTrans. A The AptaTrans architecture consists of four parts: tokenization, transformer-based encoders, convolution blocks, and a fully connected layer. In (A), an interaction matrix is generated by computing the dot products of the pairs between the RNA and amino acid token embedding vectors from the encoders. B Shows a transformer-based encoder that includes an embedding layer, a positional encoder, a vanilla transformer encoder, C convolution layers, and D a single convolution layer that includes batch normalization and an activation function

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