Title |
Protein subcellular localization prediction of eukaryotes using a knowledge-based approach
|
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Published in |
BMC Bioinformatics, December 2009
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DOI | 10.1186/1471-2105-10-s15-s8 |
Pubmed ID | |
Authors |
Hsin-Nan Lin, Ching-Tai Chen, Ting-Yi Sung, Shinn-Ying Ho, Wen-Lian Hsu |
Abstract |
The study of protein subcellular localization (PSL) is important for elucidating protein functions involved in various cellular processes. However, determining the localization sites of a protein through wet-lab experiments can be time-consuming and labor-intensive. Thus, computational approaches become highly desirable. Most of the PSL prediction systems are established for single-localized proteins. However, a significant number of eukaryotic proteins are known to be localized into multiple subcellular organelles. Many studies have shown that proteins may simultaneously locate or move between different cellular compartments and be involved in different biological processes with different roles. |
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