MetalloPred is developed which consists of 3 level of hierarchical classification using cascade of neural networks from sequence derived features. The 1st layer of the prediction engine is for identifying a query protein as metalloprotein or not; the 2nd layer for the main functional class; and the 3rd layer for the sub-functional class.
- Windows / Linux /MacOsX
:: MORE INFORMATION
Pradeep K. Naik, Piyush Ranjan, Pooja Kesari and Sankalp Jain (2011).
MetalloPred: A tool for hierarchical prediction of metal ion binding proteins using cluster of neural networks and sequence derived features.
Journal of Biophysical Chemistry, 2(2): 112-123.