BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences

@article{Wang2006BindNAW,
  title={BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences},
  author={Liangjiang Wang and Susan J. Brown},
  journal={Nucleic Acids Research},
  year={2006},
  volume={34},
  pages={W243 - W248}
}
BindN (http://bioinformatics.ksu.edu/bindn/) takes an amino acid sequence as input and predicts potential DNA or RNA-binding residues with support vector machines (SVMs). Protein datasets with known DNA or RNA-binding residues were selected from the Protein Data Bank (PDB), and SVM models were constructed using data instances encoded with three sequence features, including the side chain pK(a) value, hydrophobicity index and molecular mass of an amino acid. The results suggest that DNA-binding… CONTINUE READING
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