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 newly proposed PS-Benchmark_1 dataset to contrast their accuracy, sensitivity, specificity and correlation coefficient. SiteSeek showed better predictive performance with 86.6% accuracy, 83.8% sensitivity, 92.5% specificity and 0.77 correlation-coefficient on the four main kinase families (CDK, CK2, PKA, and PKC).


CONCLUSIONS
Our newly proposed methods used in SiteSeek were shown to be useful for the identification of protein phosphorylation sites as it performed much better than widely known predictors on the newly built PS-Benchmark_1 dataset.
Yoo
Paul D
PD
Advanced Networks Research Group, School of Information Technologies (J12), The University of Sydney, Sydney, NSW 2006, Australia. dyoo4334@it.usyd.edu.au
Ho
Yung Shwen
YS
Zhou
Bing Bing
BB
Zomaya
Albert Y
AY
D000465:Algorithms; D000595:Amino Acid Sequence; D001665:Binding Sites; D008969:Molecular Sequence Data; D010766:Phosphorylation; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D012323:RNA Processing, Post-Transcriptional / Q000502:physiology*; D020539:Sequence Analysis, Protein / Q000379:methods*
D011506:Proteins