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 t...

Source: BMC Bioinformatics - January 9, 2020 Category: Bioinformatics Authors: Hiroyuki Fukuda and Kentaro Tomii Tags: Research article Source Type: research