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DNA-binding proteins play a pivotal role in most of the biological reaction. They are defined as the amino acids directly involved DNA packaging, replication and activities. The knowledge of these properties are important for understanding the function of DNA-binding proteins (DNABPs). In the post-genomic era when the grown the of protein sequences appeared explosive, we urgently need a kind of method that can identify the DNA-binding protein in accordance with the sequences information in a fast and reliable manner. In order to resolve this problem, our team put forward a novel approach named iDNA-BiProt. In the process of the system, the protein sequence information was extracted by wavelets transforms and amino acid physicochemical properties. The overall accuracy obtained by Fuzzy K neighbor algorithm is 82.33%. It’s expected this method can be an essential tool for the basic of drug design and further research.

iDNA-BiProt: Predicting DNA-binding Proteins via Feature Extraction and Fuzzy K Neighbor Algorithm