Bioinformatics | Computational Biology | Proteomics Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADEL. June 13, 2022
Bioinformatics | Proteomics Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning. May 3, 2021
Bioinformatics | Computational Biology | Infectious Diseases Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides. March 28, 2021
Bioinformatics | Microbiology DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases. November 19, 2020
Bioinformatics | Computational Biology | Microbiology DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy. June 29, 2020
Bioinformatics | Molecular Biology PROSPECT: A web server for predicting protein histidine phosphorylation sites. June 5, 2020
Bioinformatics | Molecular Biology DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. September 30, 2019
Bioinformatics | Proteomics Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. October 4, 2018
Bioinformatics | Computational Biology | Proteomics Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. September 5, 2018