Deep geometric representations for modeling effects of mutations on protein-protein binding affinity
Fig 3
Performance of the prediction models in the leave-one-structure-out cross-validation (CV).
(A) Distributions of the per-structure Pearson correlation coefficients of GeoPPI and TopGBT on the S645 dataset. (B) Distributions of the per-structure Pearson correlation coefficients of GeoPPI and MutaBind2 on the M1707 dataset. (C) The experimental values of the affinity changes and those predicted by GeoPPI on S645. (D) The experimental values of the affinity changes and those predicted by GeoPPI on M1707.