Journal article
NetPhosYeast: prediction of protein phosphorylation sites in yeast
We here present a neural network-based method for the prediction of protein phosphorylation sites in yeast-an important model organism for basic research. Existing protein phosphorylation site predictors are primarily based on mammalian data and show reduced sensitivity on yeast phosphorylation sites compared to those in humans, suggesting the need for an yeast-specific phosphorylation site predictor.
NetPhosYeast achieves a correlation coefficient close to 0.75 with a sensitivity of 0.84 and specificity of 0.90 and outperforms existing predictors in the identification of phosphorylation sites in yeast.
Language: | English |
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Publisher: | Oxford University Press |
Year: | 2007 |
Pages: | 895-897 |
ISSN: | 13674811 , 13674803 , 02667061 and 14602059 |
Types: | Journal article |
DOI: | 10.1093/bioinformatics/btm020 |
ORCIDs: | Blom, Nikolaj |