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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Vydané v:	Bioinformatics Ročník 27; číslo 6; s. 777 - 784
Hlavní autori:	Wang, Yejun, Zhang, Qing, Sun, Ming-an, Guo, Dianjing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Oxford University Press 15.03.2011
Predmet:	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
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