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2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

DOI: 10.1109/cibcb.2005.1594957

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Intrinsic Disorder and Prote in Modifications: Building an SVM Predictor for Methylation

Proceedings article published in 2005 by K. M. Daily ORCID, P. Radivojac, A. K. Dunker
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Post-translational prote in modifications play an important role in many protein path ways and interactions. It has been hypothesized that modifications to prote insoccur in regions that are easily accessible, and many have been determined to belocated with in intrinsically disordered regions. However, identifying precise locations of prote in modifications involve sex pensive 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 prote in screening and for testing biological hypotheses.