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» Disparate data fusion for protein phosphorylation prediction
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ANOR
2010
80views more  ANOR 2010»
13 years 4 months ago
Disparate data fusion for protein phosphorylation prediction
Genetha A. Gray, Pamela J. Williams, W. Michael Br...
BICOB
2009
Springer
13 years 9 months ago
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen...
BMCBI
2008
110views more  BMCBI 2008»
13 years 4 months ago
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated da
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...
Neil F. W. Saunders, Ross I. Brinkworth, Thomas Hu...
BMCBI
2010
103views more  BMCBI 2010»
13 years 4 months ago
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Inkyung Jung, Akihisa Matsuyama, Minoru Yoshida, D...
BMCBI
2010
110views more  BMCBI 2010»
13 years 4 months ago
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data
Background: Phosphorylation is a ubiquitous and fundamental regulatory mechanism that controls signal transduction in living cells. The number of identified phosphoproteins and th...
Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasu...