NRProF is a novel automated protein functional assignment method based on the neural response algorithm, which simulates the neuronal behavior of the visual cortex in the human brain. The main idea of this algorithm is to define a distance metric that corresponds to the similarity of the subsequences and reflects how the human brain can distinguish between different sequences. We predicted the most similar target protein for a given query protein using the two layered neural response algorithm and thereby assigned the GO term associated with the target sequence to the query sequence. Our method predicted and ranked the actual GO term in the first position out of five with an accuracy of 82%. Results of the 5-fold cross validation and the comparison with PFP server indicate the better performance by our method.
Bioinformatics Group, HKU Department of Biochemistry
- Windows / Linux / MacOS
- R package
:: MORE INFORMATION
Hari Krishna Yalamanchili, Quan-Wu Xiao, and Junwen Wang .
A novel neural response algorithm for protein function prediction
BMC Systems Biology 2012, 6(Suppl 1):S19