Bioinformatics | Computational Biology | Structural Biology Machine learning modeling of RNA structures: methods, challenges and future perspectives. June 6, 2023
Bioinformatics | Biophysics Caveats to Deep Learning Approaches to RNA Secondary Structure Prediction. October 29, 2022
Bioinformatics | Molecular Biology Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. June 13, 2022
Bioinformatics | Molecular Biology | Structural Biology Mapping the glycosyltransferase fold landscape using interpretable deep learning. September 28, 2021
Bioinformatics | Structural Biology Assigning secondary structure in proteins using AI. August 17, 2021
Bioinformatics | Biophysics | Molecular Biology TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins. February 11, 2021
Bioinformatics | Computational Biology OPUS-TASS: A Protein Backbone Torsion Angles and Secondary Structure Predictor Based on Ensemble Neural Networks. July 17, 2020
Machine Learning | Structural Biology Redundancy-Weighting the PDB for Detailed Secondary Structure Prediction Using Deep-Learning Models. March 18, 2020
Bioinformatics | Proteomics PiPred – a deep-learning method for prediction of π-helices in protein sequences. May 19, 2019
Bioinformatics | Computational Biology | Proteomics Prediction of 8-state protein secondary structures by a novel deep learning architecture. April 22, 2019
Bioinformatics | Computational Biology DMfold: A Novel Method to Predict RNA Secondary Structure With Pseudoknots Based on Deep Learning and Improved Base Pair Maximization Principle. March 29, 2019