Distributed technique applied for classification of Human Protein class

Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. The main concern of the proposed work is the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of Distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques.