Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

Abstract

Predicting inter-chain residue-residue distances of protein complexes is useful for constructing and evaluating quaternary structures of the protein complexes. Here, the authors develop a deep attention-based residual network method (CDPred) to predict inter-chain residue-residue distances of protein dimers.