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pubmed-article:10356977pubmed:abstractTextA novel method was introduced to predict protein subcellular locations from sequences. Using sequence data, this method achieved a prediction accuracy higher than previous methods based on the amino acid composition. For three subcellular locations in a prokaryotic organism, the overall prediction accuracy reached 89.1%. For eukaryotic proteins, prediction accuracies of 73.0% and 78.7% were attained within four and three location categories, respectively. These results demonstrate the applicability of this relative simple method and possible improvement of prediction for the protein subcellular location.lld:pubmed
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pubmed-article:10356977pubmed:articleTitlePrediction of protein subcellular locations using Markov chain models.lld:pubmed
pubmed-article:10356977pubmed:affiliationNational Laboratory of Biomacromolecules, Institute of Biophysics, Academia Sinica, Beijing, China. zxwang@sun5.ibp.ac.cnlld:pubmed
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