DocumentCode :
3491619
Title :
Evolutionary sequence divergence predicts protein sub-cellular localization signals
Author :
Fukasawa, Yoshinori ; Leung, Ross KK ; Tsui, Stephen KW ; Horton, Paul
Author_Institution :
Dept. of Comput. Biol., Univ. of Tokyo, Kashiwa, Japan
fYear :
2011
fDate :
2-4 Sept. 2011
Firstpage :
307
Lastpage :
312
Abstract :
Protein sub-cellular localization is a central problem in understanding cell biology and has been the focus of intense research. In order to predict localization from amino acid sequence a myriad of features have been tried: including amino acid composition, sequence similarity, the presence of certain motifs or domains, and many others. Surprisingly, sequence conservation of sorting motifs has not yet been employed, despite its extensive use for tasks such as the prediction of transcription factor binding sites. Here, we flip the problem around, and present a proof of concept for the idea that the lack of sequence conservation can be a useful feature for localization prediction.
Keywords :
cellular biophysics; proteins; amino acid composition; amino acid sequence; cell biology; evolutionary sequence divergence; protein subcellular localization; sequence similarity; transcription factor binding sites; Accuracy; Amino acids; Educational institutions; Entropy; Protein engineering; Proteins; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Biology (ISB), 2011 IEEE International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-1-4577-1661-4
Electronic_ISBN :
978-1-4577-1665-2
Type :
conf
DOI :
10.1109/ISB.2011.6033170
Filename :
6033170
Link To Document :
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