Bioinformatics | Protein structure prediction SPIN2: Predicting sequence profiles from protein structures using deep neural networks. March 1, 2019
Bioinformatics | Protein structure prediction Improving Prediction of Protein Secondary Structure, Backbone Angles, Solvent Accessibility, and Contact Numbers by Using Predicted Contact Maps and an Ensemble of Recurrent and Residual Convolutional Neural Networks. December 11, 2018
Bioinformatics | Proteomics | Structural Biology Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning. November 13, 2018
Bioinformatics | Proteomics | Structural Biology Grid-based prediction of torsion angle probabilities of protein backbone and its application to discrimination of protein intrinsic disorder regions and selection of model structures. November 13, 2018
Bioinformatics | Protein Science | Structural Biology Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility. June 22, 2018
Bioinformatics | Computational Biology SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks. April 16, 2018
Bioinformatics | Structural Biology Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. September 23, 2014