Detecting distant-homology protein structures by aligning deep neural-network based contact maps
Detecting distant-homology protein structures by aligning deep neural-network based contact maps is a scholarly work by Wei Zheng, S M Mortuza, Chengxin Zhang, Robin Pearce, and Yang Zhang, published in 2019 in ''PLOS Computational Biology''. The main subjects of the publication include drug design, protein superfamily, convolutional neural network, deep neural network, Critical Assessment of protein Structure Prediction, computational biology, template, homology modeling, artificial neural network, computer science, structural alignment, biological system, copying, Protein Data Bank, artificial intelligence, protein structure, protein structure prediction, Threading, homology, and sequence alignment. The authors propose a new method, CEthreader, which first predicts residue-residue contacts by coupling evolutionary precision matrices with deep residual convolutional neural-networks.