BioMed Central | Articles which cite: pkaPS: prediction of protein kinase A phosphorylation sites with the simplified kinase-substrate binding model.

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PubMed Central articles that cite the above article:

1.	GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy. Xue Y, Ren J, Gao X, Jin C, Wen L, Yao X Mol Cell Proteomics 2008 Sep, 7:1598-608 [PubMed Central] [PubMed] [Related articles]
2.	Predicting protein post-translational modifications using meta-analysis of proteome scale data sets. Schwartz D, Chou MF, Church GM Mol Cell Proteomics 2009 Feb, 8:365-79 [PubMed Central] [PubMed] [Related articles]
3.	Prediction of kinase-specific phosphorylation sites using conditional random fields. Dang TH, Van Leemput K, Verschoren A, Laukens K Bioinformatics 2008 Dec 15, 24:2857-64 [PubMed Central] [PubMed] [Related articles]
4.	Optimal transactivation by Epstein-Barr nuclear antigen 1 requires the UR1 and ATH1 domains. Singh G, Aras S, Zea AH, Koochekpour S, Aiyar A J Virol 2009 May, 83:4227-35 [PubMed Central] [PubMed] [Related articles]
5.	A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants. Gao J, Agrawal GK, Thelen JJ, Obradovic Z, Dunker AK, Xu D Lect Notes Comput Sci 2009, 5462/2009:18-29 [PubMed Central] [PubMed] [Related articles]

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