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Title
Prediction of phosphorylation sites using SVMs.
Authors
Kim, Jong Hun; Lee, Juyoung; Oh, Bermseok; Kimm, Kuchan; Koh, Insong
Abstract
Phosphorylation is involved in diverse signal transduction pathways. By predicting phosphorylation sites and their kinases from primary protein sequences, we can obtain much valuable information that can form the basis for further research. Using support vector machines, we attempted to predict phosphorylation sites and the type of kinase that acts at each site.