My research activities are centered on Protein Structure Prediction Algorithms. I am interested in the knowledge based refinement of existing protein structure algorithms, to model protein sequences through promising scaffolds of reliable known conformations. More precisely, in next few years, I am keenly dedicated to improve the steps for

• Selection of closest templates (Known Structures), promising ones to model structural details of a protein sequence. This will essentially combine topology of reliable fragments from several templates to build the correct model topology with near-native in-silico biological conformation.
• Utilizing available information the best way to avoid the cases of shifted alignments, which mostly result in improper structural occupancy of solvent exposed beta strands. Such errors actually diverge the available coordinate information from the tentative native state for a target protein primary sequence. This will essentially combine topology of reliable fragments from several templates to build correct model conformation.
• Fast & quickly converging Model Generation Algorithm, instead of selection of promising decoy from a time consuming process of generating varying set of large number of decoys, of which a single one is actually correct near-native model.