Review of Protein Subcellular Localization Prediction

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)

Volume 12, 6 Issues, 2017

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Current Bioinformatics

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Yi-Ping Phoebe Chen
Department of Computer Science and Information Technology
La Trobe University

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Review of Protein Subcellular Localization Prediction

Current Bioinformatics, 9(3): 331-342.

Author(s): Zhen Wang, Quan Zou, Yi Jiang, Ying Ju and Xiangxiang Zeng.

Affiliation: Department of Computer Science, Xiamen University, Xiamen 361005, China.


Protein subcellular localization is closely related to protein functions. Protein can work only in specific subcellular positions, so protein localization in a cell is very important in studies on cytobiology, proteomics, and drug design. Protein subcellular localization prediction based on machine learning is timely and has generated great interest in the field of bioinformatics. This paper reviews the research status of this problem in recent years from the following four aspects: protein dataset construction, features extraction of protein sequence, machine learning algorithms, and web server construction. Finally, we analyzed the challenges in predicting protein subcellular localization and identified possible future research trends.


Algorithm, features extraction, machine learning, protein subcellular localization.

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Article Details

Volume: 9
Issue Number: 3
First Page: 331
Last Page: 342
Page Count: 12
DOI: 10.2174/1574893609666140212000304
Price: $58

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