deco - A decomposition program for NMR projection experiments

Abstract: In protein NMR high dimensional spectra are difficult to measure because long measurement times and low signal to noise. To overcome this barrier fast acquisition techniques have been developed. One of these is projection experiments that uses coupled evolution periods instead of using independent evolution periods. This reduces measurement time dramatically but has constraints in terms of protein size because of low signal to noise present in high dimensional spectra. Analyzing these spectra requires software tools that can process the convoluted spectra and assign the resulting signals. In this thesis a new algorithm is presented for decomposing convoluted spectra using python as a model and Fortran routines for steps that are time critical. All test where done on the azurin and the ubiquitin protein. and the result is a software tool for resolving projection experiments using a new algorithm together with a graphical user interface.