| 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 | 207 | 2012 |
| 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 | 183 | 2018 |
| 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 | 181 | 2010 |
| 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 | 148 | 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 | 147 | 2019 |
| 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 | 131 | 2009 |
| 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 | 120 | 2018 |
| 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 | 115 | 2008 |
| 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 | 112 | 2015 |
| 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 | 104 | 2018 |
| 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 | 104 | 2006 |
| 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 | 102 | 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 | 100 | 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 | 93 | 2017 |
| 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 | 88* | 2014 |
| 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 | 87 | 2020 |
| 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 | 86 | 2012 |
| 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 | 83 | 2013 |
| 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 | 78 | 2018 |
| 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 | 75 | 2007 |
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
