Before revision:  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:  Despite using only spatial coordinates and identities of atoms as inputs , SASNet outperforms state-of-the-art methods trained on gold-standard structural data , high-level features.