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Identify submitochondria and subchloroplast locations with pseudo amino acid composition: Approach from the strategy of discrete wavelet transform feature extraction
- Source :
-
BBA - Molecular Cell Research . Mar2011, Vol. 1813 Issue 3, p424-430. 7p. - Publication Year :
- 2011
-
Abstract
- Abstract: It is very challenging and complicated to predict protein locations at the sub-subcellular level. The key to enhancing the prediction quality for protein sub-subcellular locations is to grasp the core features of a protein that can discriminate among proteins with different subcompartment locations. In this study, a different formulation of pseudoamino acid composition by the approach of discrete wavelet transform feature extraction was developed to predict submitochondria and subchloroplast locations. As a result of jackknife cross-validation, with our method, it can efficiently distinguish mitochondrial proteins from chloroplast proteins with total accuracy of 98.8% and obtained a promising total accuracy of 93.38% for predicting submitochondria locations. Especially the predictive accuracy for mitochondrial outer membrane and chloroplast thylakoid lumen were 82.93% and 82.22%, respectively, showing an improvement of 4.88% and 27.22% when other existing methods were compared. The results indicated that the proposed method might be employed as a useful assistant technique for identifying sub-subcellular locations. We have implemented our algorithm as an online service called SubIdent (http://bioinfo.ncu.edu.cn/services.aspx). [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 01674889
- Volume :
- 1813
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- BBA - Molecular Cell Research
- Publication Type :
- Academic Journal
- Accession number :
- 58745495
- Full Text :
- https://doi.org/10.1016/j.bbamcr.2011.01.011