Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance maps

Fig. 2

The overall architecture of DistDom. The 2D distance maps and 1D features are processed by a 2D U-Net and 1D U-Net respectively. The 2D U-Net output is converted by the 1D adaptive max pooling to the output of \(L \times 1\). The \(L \times 1\) outputs from the 1D U-Net and 2D-U-Net are combined together as the hidden features for the multi-head attention layer to predict the probability of being in a domain boundary or not

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us