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Jiangning Song
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Publications
- 2024
- [j127]Lixuan Mu, Jiangning Song, Tatsuya Akutsu, Tomoya Mori:
DiCleave: a deep learning model for predicting human Dicer cleavage sites. BMC Bioinform. 25(1): 13 (2024) - 2023
- [j120]Xiaoti Jia, Pei Zhao, Fuyi Li, Zhaohui Qin, Haoran Ren, Junzhou Li, Chunbo Miao, Quanzhi Zhao, Tatsuya Akutsu, Gensheng Dou, Zhen Chen, Jiangning Song:
ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning. Briefings Bioinform. 24(2) (2023) - [j117]Jing Xu, Fuyi Li, Chen Li, Xudong Guo, Cornelia B. Landersdorfer, Hsin-Hui Shen, Anton Y. Peleg, Jian Li, Seiya Imoto, Jianhua Yao, Tatsuya Akutsu, Jiangning Song:
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities. Briefings Bioinform. 24(4) (2023) - [j114]Tong Pan, Chen Li, Yue Bi, Zhikang Wang, Robin B. Gasser, Anthony W. Purcell, Tatsuya Akutsu, Geoffrey I. Webb, Seiya Imoto, Jiangning Song:
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. Bioinform. 39(3) (2023) - 2022
- [j99]Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song:
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23(2) (2022) - [j91]Chunting Liu, Jiangning Song, Hiroyuki Ogata, Tatsuya Akutsu:
MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites. Bioinform. 38(23): 5160-5167 (2022) - [j87]Shahid Iqbal, Fang Ge, Fuyi Li, Tatsuya Akutsu, Yuanting Zheng, Robin B. Gasser, Dong-Jun Yu, Geoffrey I. Webb, Jiangning Song:
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. J. Chem. Inf. Model. 62(17): 4270-4282 (2022) - [j86]Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B. Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz A. Kurgan, Jiangning Song:
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic Acids Res. 50(W1): 434-447 (2022) - 2021
- [j81]Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Trevor Lithgow, Jiangning Song, Yanju Zhang:
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy. Briefings Bioinform. 22(3) (2021) - [j78]Yan Zhu, Fuyi Li, Dongxu Xiang, Tatsuya Akutsu, Jiangning Song, Cangzhi Jia:
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks. Briefings Bioinform. 22(4) (2021) - [j76]Shutao Mei, Fuyi Li, Dongxu Xiang, Rochelle Ayala, Pouya Faridi, Geoffrey I. Webb, Patricia T. Illing, Jamie Rossjohn, Tatsuya Akutsu, Nathan P. Croft, Anthony W. Purcell, Jiangning Song:
Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules. Briefings Bioinform. 22(5) (2021) - [j71]Shahid Iqbal, Fuyi Li, Tatsuya Akutsu, David B. Ascher, Geoffrey I. Webb, Jiangning Song:
Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations. Briefings Bioinform. 22(6) (2021) - [j64]Pengyu Liu, Jiangning Song, Chun-Yu Lin, Tatsuya Akutsu:
ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites. BMC Bioinform. 22(1): 63 (2021) - 2020
- [j58]Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Yan Zhu, David R. Powell, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Alexander Ian Smith, Roger J. Daly, Jian Li, Jiangning Song:
iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data. Briefings Bioinform. 21(3): 1047-1057 (2020) - [j56]Shutao Mei, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Kailin Giam, Nathan P. Croft, Tatsuya Akutsu, Alexander Ian Smith, Jian Li, Jamie Rossjohn, Anthony W. Purcell, Jiangning Song:
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction. Briefings Bioinform. 21(4): 1119-1135 (2020) - [j55]Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, Alexander Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song:
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences. Briefings Bioinform. 21(5): 1676-1696 (2020) - [j54]Yanju Zhang, Sha Yu, Ruopeng Xie, Jiahui Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Alexander Ian Smith, Zongyuan Ge, Jiawei Wang, Trevor Lithgow, Jiangning Song:
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins. Bioinform. 36(3): 704-712 (2020) - [j53]Fuyi Li, Jinxiang Chen, André Leier, Tatiana T. Marquez-Lago, Quanzhong Liu, Yanze Wang, Jerico Nico De Leon Revote, Alexander Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song:
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinform. 36(4): 1057-1065 (2020) - [j51]Fuyi Li, André Leier, Quanzhong Liu, Yanan Wang, Dongxu Xiang, Tatsuya Akutsu, Geoffrey I. Webb, Alexander Ian Smith, Tatiana T. Marquez-Lago, Jian Li, Jiangning Song:
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information. Genom. Proteom. Bioinform. 18(1): 52-64 (2020) - 2019
- [j47]Jiangning Song, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Neil D. Rawlings, Geoffrey I. Webb, Kuo-Chen Chou:
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites. Briefings Bioinform. 20(2): 638-658 (2019) - [j46]Jiawei Wang, Bingjiao Yang, Yi An, Tatiana T. Marquez-Lago, André Leier, Jonathan Wilksch, Qingyang Hong, Yang Zhang, Morihiro Hayashida, Tatsuya Akutsu, Geoffrey I. Webb, Richard A. Strugnell, Jiangning Song, Trevor Lithgow:
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches. Briefings Bioinform. 20(3): 931-951 (2019) - [j45]Yu Bao, Simone Marini, Takeyuki Tamura, Mayumi Kamada, Shingo Maegawa, Hiroshi Hosokawa, Jiangning Song, Tatsuya Akutsu:
Toward more accurate prediction of caspase cleavage sites: a comprehensive review of current methods, tools and features. Briefings Bioinform. 20(5): 1669-1684 (2019) - [j44]Fuyi Li, Yanan Wang, Chen Li, Tatiana T. Marquez-Lago, André Leier, Neil D. Rawlings, Gholamreza Haffari, Jerico Nico De Leon Revote, Tatsuya Akutsu, Kuo-Chen Chou, Anthony W. Purcell, Robert N. Pike, Geoffrey I. Webb, Alexander Ian Smith, Trevor Lithgow, Roger J. Daly, James C. Whisstock, Jiangning Song:
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Briefings Bioinform. 20(6): 2150-2166 (2019) - [j43]Yanju Zhang, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou, Jiangning Song:
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework. Briefings Bioinform. 20(6): 2185-2199 (2019) - [j42]Zhen Chen, Xuhan Liu, Fuyi Li, Chen Li, Tatiana T. Marquez-Lago, André Leier, Tatsuya Akutsu, Geoffrey I. Webb, Dakang Xu, Alexander Ian Smith, Lei Li, Kuo-Chen Chou, Jiangning Song:
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. Briefings Bioinform. 20(6): 2267-2290 (2019) - [j41]Jiawei Wang, Jiahui Li, Bingjiao Yang, Ruopeng Xie, Tatiana T. Marquez-Lago, André Leier, Morihiro Hayashida, Tatsuya Akutsu, Yanju Zhang, Kuo-Chen Chou, Joel Selkrig, Tieli Zhou, Jiangning Song, Trevor Lithgow:
Bastion3: a two-layer ensemble predictor of type III secreted effectors. Bioinform. 35(12): 2017-2028 (2019) - [j37]Chun-Yu Lin, Peiying Ruan, Ruiming Li, Jinn-Moon Yang, Simon See, Jiangning Song, Tatsuya Akutsu:
Deep learning with evolutionary and genomic profiles for identifying cancer subtypes. J. Bioinform. Comput. Biol. 17(3): 1940005:1-1940005:15 (2019) - 2018
- [j33]Jiangning Song, Fuyi Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike:
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy. Bioinform. 34(4): 684-687 (2018) - [j31]Jiawei Wang, Bingjiao Yang, André Leier, Tatiana T. Marquez-Lago, Morihiro Hayashida, Andrea Rocker, Yanju Zhang, Tatsuya Akutsu, Kuo-Chen Chou, Richard A. Strugnell, Jiangning Song, Trevor Lithgow:
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors. Bioinform. 34(15): 2546-2555 (2018) - [j29]Fuyi Li, Chen Li, Tatiana T. Marquez-Lago, André Leier, Tatsuya Akutsu, Anthony W. Purcell, Alexander Ian Smith, Trevor Lithgow, Roger J. Daly, Jiangning Song, Kuo-Chen Chou:
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome. Bioinform. 34(24): 4223-4231 (2018) - [j27]Takeyuki Tamura, Wei Lu, Jiangning Song, Tatsuya Akutsu:
Computing Minimum Reaction Modifications in a Boolean Metabolic Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1853-1862 (2018) - 2016
- [j23]Chen Li, Catherine Ching Han Chang, Jeremy Nagel, Benjamin T. Porebski, Morihiro Hayashida, Tatsuya Akutsu, Jiangning Song, Ashley M. Buckle:
Critical evaluation of in silico methods for prediction of coiled-coil domains in proteins. Briefings Bioinform. 17(2): 270-282 (2016) - [c4]Jira Jindalertudomdee, Morihiro Hayashida, Jiangning Song, Tatsuya Akutsu:
Host-Pathogen Protein Interaction Prediction Based on Local Topology Structures of a Protein Interaction Network. BIBE 2016: 7-12 - 2015
- [j16]Wei Lu, Takeyuki Tamura, Jiangning Song, Tatsuya Akutsu:
Computing Smallest Intervention Strategies for Multiple Metabolic Networks in a Boolean Model. J. Comput. Biol. 22(2): 85-110 (2015) - 2014
- [j14]Mingjun Wang, Xing-Ming Zhao, Hao Tan, Tatsuya Akutsu, James C. Whisstock, Jiangning Song:
Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets. Bioinform. 30(1): 71-80 (2014) - 2013
- [j13]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Prediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lasso. BMC Syst. Biol. 7(S-2): S15 (2013) - 2012
- [c1]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Predicting protein-RNA residue-base contacts using two-dimensional conditional random field. ISB 2012: 152-157 - 2011
- [j10]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Conditional random field approach to prediction of protein-protein interactions using domain information. BMC Syst. Biol. 5(S-1): S8 (2011) - [j9]Jiangning Song, Hao Tan, Sarah E. Boyd, Hong-Bin Shen, Khalid Mahmood, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock, Robert N. Pike:
Bioinformatic Approaches for Predicting substrates of Proteases. J. Bioinform. Comput. Biol. 9(1): 149-178 (2011) - 2010
- [j8]Jiangning Song, Hao Tan, Hong-Bin Shen, Khalid Mahmood, Sarah E. Boyd, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock:
Cascleave: towards more accurate prediction of caspase substrate cleavage sites. Bioinform. 26(6): 752-760 (2010) - 2008
- [j4]Jiangning Song, Hao Tan, Kazuhiro Takemoto, Tatsuya Akutsu:
HSEpred: predict half-sphere exposure from protein sequences. Bioinform. 24(13): 1489-1497 (2008)
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