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. 2024 Sep 14;40(9):btae547. doi: 10.1093/bioinformatics/btae547

Figure 1.

Figure 1.

Architecture of NeoaPred. The rectangles represent different components. The arrows indicate the information flow among the components. (A) Overview of the NeoaPred workflow. PepConf: peptide conformation prediction model; PepFore: peptide foreignness score prediction model. (B) Model architecture of PepConf. h is the length of HLA-I sequence; p is the length of peptide sequence; d is the number of channels; dashed arrows are the algorithm workflow of LpHLA and Lpep. (C) Model architecture of PepFore. CNN, convolutional neural network; FCNN, fully connected neural network.