GPS-SNO is a novel software for the prediction of S-nitrosylation sites. The leave-one-out validation and 4-, 6-, 8-, 10-fold cross-validations were calculated to evaluate the prediction performance and system robustness. By comparison, the performance of GPS 3.0 algorithm was much better than several other approaches, with an accuracy of 75.70%, a sensitivity of 55.32% and a specificity of 80.11% under the low threshold.
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Yu Xue, Zexian Liu, Xinjiao Gao, Changjiang Jin, Longping Wen, Xuebiao Yao, and Jian Ren.
GPS-SNO: Computational prediction of protein S-nitrosylation sites with a modified GPS algorithm.
Plos One. 2010;5(6):e11290