Before revision:  We present Siamese Atomic Surfacelet Network (SASNet), the first end-to-end learning method for protein interface prediction . Despite using only spatial coordinates and identities of atoms as inputs , SASNet outperforms state-of-the-art methods that rely on hand-engineered , high-level features.
After revision:  We present Siamese Atomic Surfacelet Network (SASNet), the first end-to-end learning method for protein interface prediction , the Siamese Atomic Surfacelet Network (SASNet). Using only spatial coordinates and identities of atoms as inputs , SASNet outperforms state-of-the-art methods that rely on hand-engineered , high-level features.