Abstract
Predicting protein submitochondrial location has been studied for about ten years. A number of methods have been developed. The prediction performances have been improved to an almost perfect level. In this review, we introduce the background of this research topic. We also compare the methods, the performances and the datasets that have been used by these studies. Towards the end, we provide hints for the future directions of this research topic.
Keywords: Submitochondrial locations, Intermembrane space, Feature selection, DNA, Globular proteins, Mitochondria.
Graphical Abstract
Current Genomics
Title:Predicting Protein Submitochondrial Locations: The 10th Anniversary
Volume: 18 Issue: 4
Author(s): Pu-Feng Du*
Affiliation:
- School of Computer Science and Technology, Tianjin University, Tianjin 300350,China
Keywords: Submitochondrial locations, Intermembrane space, Feature selection, DNA, Globular proteins, Mitochondria.
Abstract: Predicting protein submitochondrial location has been studied for about ten years. A number of methods have been developed. The prediction performances have been improved to an almost perfect level. In this review, we introduce the background of this research topic. We also compare the methods, the performances and the datasets that have been used by these studies. Towards the end, we provide hints for the future directions of this research topic.
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Cite this article as:
Du Pu-Feng*, Predicting Protein Submitochondrial Locations: The 10th Anniversary, Current Genomics 2017; 18 (4) . https://dx.doi.org/10.2174/1389202918666170228143256
DOI https://dx.doi.org/10.2174/1389202918666170228143256 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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