Publication Venue For
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches
Sequence analysis by iterated maps, a review
Modelling and simulation techniques for membrane biology