Jiangning Song
Jiangning Song
Associate Professor, Biomedicine Discovery Institute, Monash University
Verified email at monash.edu - Homepage
TitleCited byYear
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
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
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
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
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 cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information
J Song, K Burrage, Z Yuan, T Huber
BMC bioinformatics 7 (1), 124, 2006
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, bby028, 2018
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
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
Resolvins E1 and D1 inhibit interstitial fibrosis in the obstructed kidney via inhibition of local fibroblast proliferation
X Qu, X Zhang, J Yao, J Song, DJ Nikolic‐Paterson, J Li
The Journal of pathology 228 (4), 506-519, 2012
Predicting residue-wise contact orders in proteins by support vector regression
J Song, K Burrage
BMC bioinformatics 7 (1), 425, 2006
Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features
Y Li, M Wang, H Wang, H Tan, Z Zhang, GI Webb, J Song
Scientific reports 4, 5765, 2014
Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure
J Song, Z Yuan, H Tan, T Huber, K Burrage
Bioinformatics 23 (23), 3147-3154, 2007
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
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
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
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
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
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
Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features
Z Chen, Y Zhou, Z Zhang, J Song
Briefings in bioinformatics 16 (4), 640-657, 2015
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