Abstract

Protein structure is the key to deciphering its function and biological role. Nuclear Magnetic Resonance (NMR) spectroscopy is one of the major experimental protein structure determination methods. Manual NMR process is cumbersome and time-consuming, and there is a great need to automate this process. Therefore, a plethora of research is conducted on developing computational tools that aim to fully-automate the NMR process. Although protein NMR is shown to be a promising method for studying structural aspects of a protein (i.e. protein folding), it is limited to small proteins. Several issues emerge when the NMR method is applied to large proteins: (a) numerous overlapping signals make identifying individual signals challenging; and (b) the signals become broader and weaker to the extent of becoming almost undetectable. In this talk, I will describe a novel approach to developing a fully-automated protein NMR method for larger proteins, and present the five modules I have designed and developed for the automation of NMR pipeline.