Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37991
Title: Fusion of cleavage site detection and pairwise alignment for fast subcellular localization
Authors: Mak, MW 
Kung, SY
Keywords: Pairwise alignment
TargetP
Cleavage sites
Profile
Protein sequences
Subcellular localization
Issue Date: 2008
Source: IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 : ICASSP ; Las Vegas, NV, March 31, 2008 - April 4, 2008, p. 573-576 How to cite?
Abstract: In recent years, homology-based and signal-based methods have been proposed for predicting the subcellular localization of proteins. While it has been known that homology-based methods can detect more subcellular locations than signal-based methods, the former generally requires a lot more computational resources during both training and prediction. The problem will become intractable for annotating large databases. One possible solution is to reduce the sequence length. This paper proposes to use the cleavage sites detected by signal-based methods (e.g., TargetP) to extract the sequence or profile segments that contain the most localization information for alignment. It was found that the method can reduce computation time of full-length alignment by 27-fold at a cost of only 8% reduction in prediction accuracy. Moreover, the method can increase the accuracy by 0.8% and at the same time reduce the computation time by 41%. Results also show that cutting the sequences at the cleavage sites detected by TargetP is better than cutting them at a fixed position.
URI: http://hdl.handle.net/10397/37991
ISBN: 978-1-4244-1483-3
978-1-4244-1484-0 (E-ISBN)
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2008.4517674
Appears in Collections:Conference Paper

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