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OJB©

Online Journal of Bioinformatics©

Onl J Bioinform©

Established 1995

ISSN 1443-2250

Volume 27 (1) :19-26, 2026.

Prediction of protein subcellular localizations.

Huang J,Shi H

School of Computer Science and Mathematics and Statistics, Wuhan University and School of Science, Huazhong Agricultural University, Hubei province, PR China.

ABSTRACT

Huang J,Shi ., Prediction of protein subcellular localizations., Onl J Bioinform 27 (1) :19-26, 2026.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.

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