DocumentCode :
3265395
Title :
Intrinsic Disorder and Prote in Modifications: Building an SVM Predictor for Methylation
Author :
Daily, Kenneth M. ; Radivojac, Predrag ; Dunker, Keith A.
Author_Institution :
School of Informatics, Indiana University, Bloomington, IN 47408
fYear :
2005
fDate :
14-15 Nov. 2005
Firstpage :
1
Lastpage :
7
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.
Keywords :
Amino acids; Bioinformatics; Biomedical informatics; Computational biology; Independent component analysis; Nitrogen; Proteins; Spine; Support vector machines; Tellurium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology, 2005. CIBCB '05. Proceedings of the 2005 IEEE Symposium on
Print_ISBN :
0-7803-9387-2
Type :
conf
DOI :
10.1109/CIBCB.2005.1594957
Filename :
1594957
Link To Document :
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