The following publications are possibly variants of this publication:
- KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sitesHsien-Da Huang, Tzong-Yi Lee, Shih-Wei Tzeng, Jorng-Tzong Horng. nar, 33(Web-Server-Issue):226-229, 2005. [doi]
- KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patternsYung-Hao Wong, Tzong-Yi Lee, Han-Kuen Liang, Chia-Mao Huang, Ting-Yuan Wang, Yi-Huan Yang, Chia-Huei Chu, Hsien-Da Huang, Ming-Tat Ko, Jenn-Kang Hwang. nar, 35(Web-Server-Issue):588-594, 2007. [doi]
- GPS 6.0: an updated server for prediction of kinase-specific phosphorylation sites in proteinsMiaomiao Chen, Weizhi Zhang, Yujie Gou, Danyang Xu, Yuxiang Wei 0005, Dan Liu, Cheng Han, Xinhe Huang, Chengzhi Li, Wanshan Ning, Di Peng, Yu Xue 0001. nar, 51(W1):243-250, July 2023. [doi]
- Prediction of protein kinase-specific phosphorylation sites using Random forest algorithmWenwen Fan, Liang Zou, Ao Li, Minghui Wang. bmei 2012: 986-989 [doi]
- Prediction of Kinase-Specific Phosphorylation Sites by One-Class SVMsTingting Li, Hu Fu, Xuegong Zhang. bibm 2007: 217-222 [doi]
- Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteomeFuyi Li, Chen Li 0021, Tatiana T. Marquez-Lago, André Leier, Tatsuya Akutsu, Anthony W. Purcell, A. Ian Smith, Trevor Lithgow, Roger J. Daly, Jiangning Song, Kuo-Chen Chou. bioinformatics, 34(24):4223-4231, 2018. [doi]
- Holistic similarity-based prediction of phosphorylation sites for understudied kinasesRenfei Ma, Shangfu Li, Luca Parisi, Wenshuo Li, Hsien-Da Huang, Tzong-Yi Lee. bib, 24(2), March 2023. [doi]