Prediction of phosphorylation sites using SVMs

Jong Hun Kim, Ju‐Young Lee, Bermseok Oh, Kuchan Kimm, InSong Koh

Bioinformatics · 2004 · 245 citations · 10 references

Abstract

Our prediction system was limited to phosphorylation sites catalyzed by four protein kinase families and four protein kinase groups. The accuracy of the predictions ranged from 83 to 95% at the kinase family level, and 76-91% at the kinase group level. The prediction system used-PredPhospho-can be applied to the functional study of proteins, and can help predict the changes in phosphorylation sites caused by amino acid variations at intra- and interspecies levels.

References

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