Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification
Fig 10
LIME analysis evaluating the reliability of predictions from a trained DNN model.
a The column lists images of arbitrary fingerprints associated with the Abs listed under the “Abs Set” column. b The column contains images generated as the superposition of three elements, a) green color represent the most relevant pixels used by the DNN to generate the prediction, i.e., those shown in the image from column 3; b) bright red pixels have the most negative contribution to the prediction; and c) the remaining pixels from the original fingerprint image. c This column contains heatmap images describing the contribution of each pixels on the fingerprint to the prediction generated by the DNN model. The color scale ranges from dark blue for the most relevant contributions to dark red for the most negative ones. The color scale is selected independently for each heatmap based on the scores assigned by LIME.