ABSTRACT
Protein S-sulfonylation is a reversible protein post-translational modification (PTM) that plays a vital role in biological growth. It is also related to some diseases. Therefore from the perspective of basic research or drug development, we are faced with a challenging question: where are the S-sulfonylation sites on proteins? In order to solve this problem, we developed a method for site prediction. The working principle of the system is (1) Combine these proteins into isometric amino acids.(2) Use down sampling to balance the training data set;(3) Build a comprehensive prediction system through ensemble support vector machines. In the end, the accuracy rate on the independent tester reached 90. 77%. Compared with the existing methods, all other indicators have been improved, and the improvement effect is obvious. Thus we provided help for the development of bioinformatics. We have established a friendly web server prediction website: http://www.jci-bioinfo.cn/iSulf_Wide-PseAAC, through which the website can make the prediction online, without complicated calculation formulas. At the same time, the mathematical methods used in this article can solve many problems in similar related fields.