High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles

Motivation: Bacterial type III secreted (T3S) effectors are delivered into host cells specifically via type III secretion systems (T3SSs), which play important roles in the interaction between bacteria and their hosts. Previous computational methods for T3S protein prediction have only achieved limi...

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Veröffentlicht in:	Bioinformatics Jg. 27; H. 6; S. 777 - 784
Hauptverfasser:	Wang, Yejun, Zhang, Qing, Sun, Ming-an, Guo, Dianjing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 15.03.2011
Schlagworte:	Algorithms Amino Acid Sequence Amino acids Bacteria Bacterial Proteins - chemistry Bacterial Proteins - classification Bacterial Secretion Systems Bayes Theorem Bioinformatics Biological and medical sciences Composition effects Computational Biology - methods Effectors Fundamental and applied biological sciences. Psychology General aspects Genome, Bacterial Mathematical models Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Statistical Proteins Ralstonia solanacearum Ralstonia solanacearum - chemistry Secretions Sequence Analysis, Protein - methods Software Support vector machines Composition Accuracy Position Secretion Aminoacid Prediction Bacteria Profile
ISSN:	1367-4803, 1367-4811, 1367-4811, 1460-2059
Online-Zugang:	Volltext
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