
Target identification Software
Target identification is the first step of drug discovery and it begins with the discovery of a relevant drug target believed to be essential for the biological function and survival of a parasitic organism. One of the major challenge for bioinformaticians is to discover effective drugs using in silico approaches. Our group is working in the last number of years to assist researchers interested in the field of drug discovery. In past, we have developed some methods to identify a drug target that includes kinase enzymes (ATPint, GTPbinder), G-protein-coupled receptors (GPCRpred and GPCRsclass), nuclear receptors (NRpred), glycoproteins (GlycoPP and GlycoEP) and t-RNA target. In addition, methods have been developed for predicting DNA/RNA binding proteins and DNA/RNA interacting regions in proteins. We have also working targeting disease specific targets eg. HIVcoPRED, Cancer_pred, etc.
Target Identification Software Description
GPCRpred GPCRpred is an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors.
ATPint ATPint is a web based tool for prediction of ATP binding residue in protein sequence by using SVM.
NetPhosK NetPhosK server produces neural network predictions of kinase specific eukaryotic protein phosphoylation sites.