Intrinsic disorder and prote in modifications: Building an SVM predictor for methylation

Kenneth M. Daily, Predrag Radivojac, A. Keith Dunker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
StatePublished - Dec 1 2005
Event2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 - La Jolla, CA, United States
Duration: Nov 14 2005Nov 15 2005

Publication series

NameProceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
Volume2005

Other

Other2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05
CountryUnited States
CityLa Jolla, CA
Period11/14/0511/15/05

ASJC Scopus subject areas

  • Engineering(all)

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    Daily, K. M., Radivojac, P., & Dunker, A. K. (2005). Intrinsic disorder and prote in modifications: Building an SVM predictor for methylation. In Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 [1594957] (Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05; Vol. 2005).