  Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for the
investigation of three-dimensional structures of biological molecules such as
proteins. Determining a protein structure is essential for understanding its
function and alterations in function which lead to disease. One of the major
challenges of the post-genomic era is to obtain structural and functional
information on the many unknown proteins encoded by thousands of newly
identified genes. The goal of this research is to design an algorithm capable
of automating the analysis of backbone protein NMR data by implementing AI
strategies such as greedy and A* search.
