Incorporating support vector machine for identifying protein tyrosine sulfation sites

@article{Chang2009IncorporatingSV,
  title={Incorporating support vector machine for identifying protein tyrosine sulfation sites},
  author={Wen-Chi Chang and Tzong-Yi Lee and Dray-Ming Shien and Justin Bo-Kai Hsu and Jorng-Tzong Horng and Po-Chiang Hsu and Ting-Yuan Wang and Hsien-Da Huang and Rong-Long Pan},
  journal={Journal of computational chemistry},
  year={2009},
  volume={30 15},
  pages={2526-37}
}
Tyrosine sulfation is a post-translational modification of many secreted and membrane-bound proteins. It governs protein-protein interactions that are involved in leukocyte adhesion, hemostasis, and chemokine signaling. However, the intrinsic feature of sulfated protein remains elusive and remains to be delineated. This investigation presents SulfoSite, which is a computational method based on a support vector machine (SVM) for predicting protein sulfotyrosine sites. The approach was developed… CONTINUE READING