The model was trained using a combination of reconstruction loss, Kullback–Leibler (KL) divergence, and classification loss, optimized for balanced performance. For peptide generation, latent vectors ...

The overall program structure is presented in Listing 1. All the control logic is in the Main() method. All of the neural autoencoder functionality is in a NeuralNet class. A Utils class holds helper ...