Review of Protein Subcellular Localization Prediction
Zhen Wang, Quan Zou, Yi Jiang, Ying Ju and Xiangxiang Zeng
Affiliation: Department of Computer Science, Xiamen University, Xiamen 361005, China.
Keywords: Algorithm, features extraction, machine learning, protein subcellular localization.
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.
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