Publications

(1) Jiao Shihu; Xiucai Ye; Tetsuya Sakurai; Quan Zou; Wu Han; Chao Zhan. Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction. BMC Biology. 2025; 23(1):229.[Code]

(2) Jiao Shihu; Yu Wang; Xiucai Ye; Larry Nagahara; Tetsuya Sakurai. Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism. Scientific Reports. 2025; 15(1): 9603.

(3) Jiao Shihu; Xiucai Ye; Tetsuya Sakurai; Quan Zou; Ruijun Liu. Integrated convolution and self-attention for improving peptide toxicity prediction. Bioinformatics. 2024; 40(5): btae297. [Code]

(4) Jiao Shihu; Xiucai Ye; Chunyan Ao; Tetsuya Sakurai; Quan Zou; Lei Xu. Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinformatics. 2023; 39(11): btad627. [Code]

(5) Chunyan Ao; Jiao Shihu; Yansu Wang; Liang Yu; Quan, Zou. Biological Sequence Classification: A Review on Data and General Methods. Research. 2022, 2022: 0011. [Data]

(6) Jiao Shihu; Quan, Zou. Identification of plant vacuole proteins by exploiting deep representation learning features. Computational and Structural Biotechnology Journal. 2022;20:2921-2927. [Webserver] [Code]

(7) Jiao Shihu; Chen Zheng; Zhang Lichao; Zhou Xun; Shi, Lei. ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learning. Amino acids. 2022;54:799-809. [Webserver]

(8) Jiao Shihu; Zou Quan; Guo Huannan; Shi Lei. iTTCA-RF: a random forest predictor for tumor T cell antigens. Journal of Translational Medicine. 2021;19(1):1-11. [Webserver]

(9) Jiao Shihu; Xu Lei; Ju, Ying. CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifier. Genomics. 2021;113:2919-2924.

(10) Jiao Shihu; Wu Song; Huang Shan; Liu Mingyang; Gao Bo. Advances in the Identification of Circular RNAs and Research Into circRNAs in Human Diseases. Frontiers in Genetics. 2021;12.

Projects