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BMCBI
2008

SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles

9 years 10 months ago
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common modification that occur in intracellular proteins. Accurate prediction of protein phosphorylation sites is of great importance for the understanding of diverse cellular signalling processes in both the human body and in animals. In this study, we propose a new machine learning based protein phosphorylation site predictor, SiteSeek. SiteSeek is trained using a novel compact evolutionary and hydrophobicity profile to detect possible protein phosphorylation sites for a target sequence. The newly proposed method proves to be more accurate and exhibits a much stable predictive performance than currently existing phosphorylation site predictors. Results: The performance of the proposed model was compared to nine existing different machine learning models and four widely known phosphorylation site predictors with the...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert Y. Zomaya
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