Bioinformatics | Structural Biology Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins. January 12, 2024
Bioinformatics | Proteomics Overview Update: Computational Prediction of Intrinsic Disorder in Proteins. June 13, 2023
Bioinformatics | Computational Biology | Proteomics Computational prediction of disordered binding regions. February 28, 2023
Bioinformatics | Proteomics Deep learning in prediction of intrinsic disorder in proteins. March 31, 2022
Other DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. December 14, 2021
Bioinformatics | Computational Biology | Protein Science Surveying over 100 Predictors of Intrinsic Disorder in Proteins. December 13, 2021
Bioinformatics | Computational Biology QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores. May 24, 2021
Bioinformatics iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. March 4, 2021
Bioinformatics | Molecular Biology DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. September 30, 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