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Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition.

Yu-Dong Cai·Kuo-Chen Chou
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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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AlgorithmsAmino AcidsComputational BiologyProtein Structure, TertiaryProteinsProteomicsSequence Analysis, ProteinEvaluation StudyJournal Article

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Yu-Dong Cai, Kuo-Chen Chou. 2003-05-30. Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition.. https://doi.org/10.1016/s0006-291x(03)00775-7

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