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Anh Hang Mai Vo, Tien-Anh Vu ([1] Freelance Scietific Illustrator, Vinmec High Tech Center; [2] VNU University of Science)
Overview of the xCAPT5 Model Architecture, which encompasses five distinct phases denoted by the capital letters in the parenthesis. A Input Stage: The model takes two protein sequences as input. B Embedding Phase: The ProtT5-XL-UniRef50 Protein Language Model processes the sequences to produce amino acid embeddings. C Single Sequence Learning Phase: Subsequent to embedding, each sequence traverses through five convolutional modules. Within each module, four layers are executed in sequence: the first performs convolutions with kernel sizes 2 (conv 2), 3 (conv 3, not illustrated in the figure), and 4 (conv 4), generating varying feature maps. These maps are then activated via the Swish function in the second layer. The third layer acts on the activation output, applying average pooling (AP) and max pooling (MP) to retain the most important features. Portfolio link: https://www.behance.net/anhvhmhttps://link.springer.com/article/10.1186/s12859-024-05725-6/figures/1