37 search results - page 1 / 8 » A New Machine Learning Approach for Protein Phosphorylation ... |
BICOB
2009
Springer
13 years 9 months ago
2009
Springer
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
BMCBI
2008
13 years 4 months ago
2008
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
IPPS
2008
IEEE
13 years 11 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
BMCBI
2008
13 years 5 months ago
2008
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...