Bioinformatics | RNA Biology | Structural Biology Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling. June 25, 2022
Bioinformatics | Computational Biology | Molecular Biology RNAcmap: A Fully Automatic Pipeline for Predicting Contact Maps of RNAs by Evolutionary Coupling Analysis. May 22, 2021
Other SPOT-1D-Single: Improving the Single-Sequence-Based Prediction of Protein Secondary Structure, Backbone Angles, Solvent Accessibility and Half-Sphere Exposures using a Large Training Set and Ensembled Deep Learning. May 13, 2021
Bioinformatics | Computational Biology | RNA Biology Improved RNA Secondary Structure and Tertiary Base-pairing Prediction Using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning. March 11, 2021
Bioinformatics | Computational Biology | Proteomics SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning. March 16, 2020
Bioinformatics | Molecular Biology SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. December 17, 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