※ GPS-SUMO 2.0 INTRODUCTION: 

Small ubiquitin-like modifiers (SUMOs) are tiny but important protein regulators involved in orchestrating a broad spectrum of biological processes, more details >>>

Below, we provide the basic predictor based on penalized logistic regression.Speed:



     Please enter sequence(s) in FASTA format


     Or, upload file (<50K)  Unselected

Threshold
SUMOylation: SUMO interaction:
Motif Filter

For the help of GPS-SUMO 2.0 and the tutorial, please refer to the USER GUIDE page.
For the sourse code of GPS-SUMO 2.0, please visit the GitHub page.
For the advanced predictors, please visit the ADVANCED page.

  ▼ Example
  ▼ Statistics
14,809 proteins 13 species 74,927 SUMOylation sites 176 SIMs 529 computational models 17 predictors
416 features
35 public resources 9 sequence logos 6,428 3D structures 27,482 PPI pairs

  ▼ Citation

For publication of results please cite the following articles:

GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interacting motifs.
Qi Zhao, Yubin Xie, Yueyuan Zheng, Shuai Jiang, Wenzhong Liu, Weiping Mu, Yong Zhao, Yu Xue and Jian Ren.
Nucleic Acids Research. 2014; 42(W1):W325-W330.

[Abstract] [Full Text]


Systematic study of protein sumoylation: Development of a site-specific predictor of SUMOsp 2.0.
Jian Ren, Xinjiao Gao, Changjiang Jin, Mei Zhu, Xiwei Wang, Andrew Shaw, Longping Wen, Xuebiao Yao and Yu Xue.
Proteomics. 2009; 9:3409-3412

[Abstract] [Full Text]


SUMOsp: a web server for sumoylation site prediction.
Yu Xue , Fengfeng Zhou, Chuanhai Fu, Ying Xu, Xuebiao Yao.
Nucleic Acids Research. 2006; 34:W254–W257.

[Abstract] [Full Text]