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OJB
Online Journal of Bioinformatics
Volume 6 : 8-21, 2005
A novel method to predict
protein subcellular localizations
Huang J, Shi H
ABSTRACT
Huang J, Shi
H, A novel method to predict protein subcellular
localizations, Online J Bioinformatics 6:8-21, 2004. Amino acid similarity and
structure were used in a model to predict subcellular
localizations for prokaryotic and eukaryotic proteins. Tested with Reinhart and
Hubbard’s dataset, prediction accuracies reached 100% using the
self-consistency test, 92% for prokaryotic sequences and 79.2% for eukaryotic
protein sequences with the jackknife test. The results suggest that amino acid
structure may be a useful predictor of protein subcellular
localization.
KEY WORDS: Support vector machine, subcellular location, amino acid similarity.