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CIBCB
2005
IEEE

Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation

14 years 5 months ago
Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation
Abstract-Post-translational protein modifications play an important role in many protein pathways and interactions. It has been hypothesized that modifications to proteins occur in regions that are easily accessible, and many have been determined to be located within intrinsically disordered regions. However, identifying precise locations of protein modifications involves expensive and time consuming laboratory work. Thus, automated identification of these sites is helpful. This paper studies methylated proteins and describes methods of building a predictor for arginine and lysine methylation sites using support vector machines. Our results indicate that, based on current data, both arginine and lysine methylation sites are likely to be intrinsically disordered and that the accuracies of methylation site predictions are high enough to be useful for protein screening and for testing biological hypotheses. Availability: www.informatics.indiana.edu/MethylationPredictor
Kenneth Daily, Predrag Radivojac, A. Keith Dunker
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CIBCB
Authors Kenneth Daily, Predrag Radivojac, A. Keith Dunker
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