KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites

By Hsien-Da Huang, Tzong-Yi Lee, Shih-Wei Tzeng, Jorng-Tzong Horng. Nucleic Acids Res., 2005

339 citations recorded by the source corpus.

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 .

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/dda60ff83943650c00e86744850dd2368f0c7959

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In Molecular Biology

1. Campbell Wilson
2. Ying Xu
3. Jenn-Kang Hwang
4. James C. Whisstock
5. Jiangning Song

Citations in the corpus

• GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy *S (2008, neutral): “) (10–12, 15–17).”
• Mitochondrial outer-membrane protein FUNDC1 mediates hypoxia-induced mitophagy in mammalian cells (2012, methodology): “(c) HeLa cells were transfected with (Flag)N-Fundc1(1-155)-C(Myc) or (Flag)N-Fundc1(1-139)C(Myc) vectors, respectively.”
• PhosContext2vec: a distributed representation of residue-level sequence contexts and its application to general and kinase-specific phosphorylation site prediction (2018, methodology): “While in the case of kinase-specific phosphorylation site prediction, the performance of PhosContext2vec was compared to that of GPS 3.0, MusiteDeep, Musite 1.0, NetPhos 3.1, KinasePhos 2.0 7,8 , PhosphoPredict 10 , and PhosphoPick 37 .”
• F-SNP: computationally predicted functional SNPs for disease association studies (2007, neutral): “microRNA, cpgIslands); KinasePhos (as of 15 August 2007) (18), OGPET (ver.”
• KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns (2007, background): “0, incorporated profile hidden Markov model (HMM) for identifying kinase-specific phosphorylation sites, whose overall predictive accuracy is 87% (5,6).”