DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment

Recently developed methods of protein contact prediction, a crucially important step for protein structure prediction, depend heavily on deep neural networks (DNNs) and multiple sequence alignments (MSAs) of target proteins.