Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification
Fig 3
Schematic diagram of the allocation of fingerprints into training, validation, and testing sets.
Antibody assignment: Antibodies are randomly split into two fractions: training/validation and testing. Fingerprints assignment: The fingerprint images of an Ab selected for testing are added to a common pool in the test set. If the Ab was selected for training/validation, its fingerprints are divided into two fractions: each fraction is added to specific pools in the training and the validation sets associated with the Ab class.