SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles |
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Authors: | Paul D Yoo Yung Shwen Ho Bing Bing Zhou Albert Y Zomaya |
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Institution: | (1) Advanced Networks Research Group, School of Information Technologies (J12), The University of Sydney, 2006 Sydney, NSW, Australia;(2) Retroviral Genetics Laboratory, Centre for Virus Research, Westmead Millennium Institute, Westmead Hospital, The University of Sydney, 2145 Westmead, NSW, Australia;(3) Sydney Bioinformatics Centre and the Centre for Mathematical Biology,The University of Sydney, 2006 Sydney, NSW, Australia |
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Abstract: | 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. |
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