Explore Residue Significance in Peptide Classification
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Analysis of protein phosphorylation site predictors with an independent dataset
International Journal of Bioinformatics Research and Applications
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
Predicting O-glycosylation sites in mammalian proteins by using SVMs
Computational Biology and Chemistry
Predicting palmitoylation sites using a regularised bio-basis function neural network
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Using a neural networking method to predict the protein phosphorylation sites with specific kinase
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Probabilistic prediction of protein phosphorylation sites using kernel machines
Proceedings of the 27th Annual ACM Symposium on Applied Computing
ACM SIGAPP Applied Computing Review
An ensemble learning approach for prediction of phosphorylation sites
International Journal of Bioinformatics Research and Applications
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Motivation: 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. Results: 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. Availability: PredPhospho is available at http://www.ngri.re.kr/proteo/PredPhospho.htm. Supplementary information: http://www.ngri.re.kr/proteo/supplementary.doc