Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature

Motivation: In this work, we aim to develop a computational approach for predicting DNA-binding sites in proteins from amino acid sequences. To avoid overfitting with this method, all available DNA-binding proteins from the Protein Data Bank (PDB) are used to construct the models. The random forest...

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Veröffentlicht in:	Bioinformatics 2009-01, Vol.25 (1), p.30-35
Hauptverfasser:	Wu, Jiansheng, Liu, Hongde, Duan, Xueye, Ding, Yan, Wu, Hongtao, Bai, Yunfei, Sun, Xiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amino Acid Sequence Amino Acids - metabolism Biological and medical sciences Computational Biology - methods Databases, Protein DNA - metabolism DNA-Binding Proteins - metabolism Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Molecular Original Papers Protein Binding ROC Curve
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