Deep geometric representations for modeling effects of mutations on protein-protein binding affinity
Table 3
Comparison of prediction performance of GeoPPI with that of different baseline methods on the S641 dataset.
In this test, the S1131 dataset is the training dataset of GeoPPI, TopGBT and TopNetTree. Besides the regression performance, a binary classification experiment is conducted to evaluate the ability of classifying the stabilizing and destabilizing mutations in terms of the classification accuracy (ACC), the area under the receiver operating characteristic curve (AUC) and Matthews correlation coefficient (MCC).