Jiangning (John) Song
Jiangning (John) Song
Professor, Biomedicine Discovery Institute and Data Futures Institute, Monash University
Verified email at - Homepage
Cited by
Cited by
iFeature: a python package and web server for features extraction and selection from protein and peptide sequences
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ...
Bioinformatics, 2018
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides
L Wei, C Zhou, H Chen, J Song, R Su
Bioinformatics, 2018
iLearn: an integrated platform and meta-learner for feature engineering and machine learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, DR Powell, ...
Briefings in Bioinformatics, 2020
PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites
J Song, H Tan, AJ Perry, T Akutsu, GI Webb, JC Whisstock, RN Pike
PloS one 7 (11), e50300, 2012
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
JF Xia, XM Zhao, J Song, DS Huang
BMC bioinformatics 11 (1), 174, 2010
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
J Song, Y Wang, F Li, T Akutsu, ND Rawlings, GI Webb, KC Chou
Briefings in Bioinformatics 20 (2), 638–658, 2019
GlycoMine: a machine learning-based approach for predicting N-, C-and O-linked glycosylation in the human proteome
F Li, C Li, M Wang, GI Webb, Y Zhang, JC Whisstock, J Song
Bioinformatics 31 (9), 1411-1419, 2015
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles
J Wang, B Yang, J Revote, A Leier, TT Marquez-Lago, G Webb, J Song, ...
Bioinformatics 33 (17), 2756-2758, 2017
Cascleave: towards more accurate prediction of caspase substrate cleavage sites
J Song, H Tan, H Shen, K Mahmood, SE Boyd, GI Webb, T Akutsu, ...
Bioinformatics 26 (6), 752-760, 2010
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome
F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, AI Smith, ...
Bioinformatics, 2018
A prominent subset of HLA-I peptides are not genomically templated: evidence for cis- and trans-spliced peptide ligands
P Faridi, C Li, SH Ramarathinam, JP Vivian, PT Illing, NA Mifsud, R Ayala, ...
Science Immunology, 2018
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
J Song, F Li, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, KC Chou, ...
Bioinformatics 34 (4), 684-687, 2018
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
S Mei, F Li, A Leier, TT Marquez-Lago, K Giam, NP Croft, T Akutsu, ...
Briefings in bioinformatics 21 (4), 1119-1135, 2020
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Z Chen, P Zhao, C Li, F Li, D Xiang, YZ Chen, T Akutsu, RJ Daly, GI Webb, ...
Nucleic Acids Research, 2021
Production of octenyl succinic anhydride-modified waxy corn starch and its characterization
Z Liu, Y Li, F Cui, L Ping, J Song, Y Ravee, L Jin, Y Xue, J Xu, G Li, ...
Journal of Agricultural and Food Chemistry 56 (23), 11499-11506, 2008
Prediction of protein folding rates from primary sequence by fusing multiple sequential features
HB Shen, J Song, KC Chou
Journal of Biomedical Science and Engineering (JBiSE) 2, 136-143, 2009
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou, GI Webb
Journal of Theoretical Biology 443, 125-137, 2018
hCKSAAP_UbSite: Improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties
Z Chen, Y Zhou, J Song, Z Zhang
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1834 (8), 1461-1467, 2013
An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP
Y Bi, D Xiang, Z Ge, F Li, C Jia, J Song
Molecular Therapy - Nucleic Acids, 2020
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
J Wang, B Yang, A Leier, M Marquez-Lago, Tatiana T., Hayashida, ...
Bioinformatics, 2018
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