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KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites
Open accessAbstract
KinasePhos is a novel web server for computationally identifying catalytic kinase-specific phosphorylation sites. The known phosphorylation sites from public domain data sources are categorized by their annotated protein kinases. Based on the profile hidden Markov model, computational models are learned from the kinase-specific groups of the phosphorylation sites. After evaluating the learned models, the model with highest accuracy was selected from each kinase-specific group, for use in a web-based prediction tool for identifying protein phosphorylation sites. Therefore, this work developed a kinase-specific phosphorylation site prediction tool with both high sensitivity and specificity. The prediction tool is freely available at http://KinasePhos.mbc.nctu.edu.tw/.
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Cited by
Ruan, J., Li, H., Chen, Z., Coghlan, A., Coin, L. J. M., Guo, Y., Heriche, J.-K., Hu, Y., Kristiansen, K., Li, R., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm1005 · Cited by 332
Salsbury, F. R., Knutson, S. T., Poole, L. B., & Fetrow, J. S. (2008) · Protein Science · doi:10.1110/ps.073096508 · Cited by 125
Zhang, J., Ravichandran, K. S., & Garrison, J. C. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.128827 · Cited by 25
Metadata
- Authors
- Huang, H.-D., Lee, T.-Y., Tzeng, S.-W., & Horng, J.-T.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-07-01
- Volume
- 33
- Issue
- Web Server
- Pages
- W226-W229
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2134129243
- Cited by
- 326
- References
- 0
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- gold
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- Huang, H.-D., Lee, T.-Y., Tzeng, S.-W., & Horng, J.-T. (2005). KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites. Nucleic Acids Research. https://doi.org/10.1093/nar/gki471
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