Bioinformatics | Molecular Biology Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model. November 15, 2019
Bioinformatics | Biotechnology Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers. June 21, 2019
Bioinformatics | Pharmacology DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. June 14, 2019
Bioinformatics | Proteomics PiPred – a deep-learning method for prediction of π-helices in protein sequences. May 19, 2019
Bioinformatics | Computational Biology | Molecular Biology DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions. April 3, 2019
Bioinformatics | Pharmacology DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks. February 25, 2019
Bioinformatics | Genomics | Proteomics Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. November 13, 2018
Bioinformatics | Structural Biology Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. September 23, 2014