We develop several tools for protein structure prediction using homology modelling and threading. We also determine short family specific structural motifs using structural alphabets and machine learning approaches. We also conduct docking studies for protein-protein interaction applications and drug design applications. We also work on developing novel scoring schemes for these applications.