Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition |
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Authors: | Cai Yu-Dong Chou Kuo-Chen |
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Affiliation: | Shanghai Research Centre of Biotechnology, Chinese Academy of Sciences, Shanghai 200233, China. y.cai@umist.ac.uk |
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Abstract: | In this paper, based on the approach by combining the "functional domain composition" [K.C. Chou, Y. D. Cai, J. Biol. Chem. 277 (2002) 45765] and the pseudo-amino acid composition [K.C. Chou, Proteins Struct. Funct. Genet. 43 (2001) 246; Correction Proteins Struct. Funct. Genet. 2044 (2001) 2060], the Nearest Neighbour Algorithm (NNA) was developed for predicting the protein subcellular location. Very high success rates were observed, suggesting that such a hybrid approach may become a useful high-throughput tool in the area of bioinformatics and proteomics. |
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Keywords: | Hybrid algorithm Proteins subcellular location Functional domain composition Pseudo-amino acid composition Bioinformatics Proteomics |
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