A random graph approach to NMR sequential assignment
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
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Nuclear Magnetic Resonance spectroscopy is an important technique to study structures of biomolecules. While it is possible to use two-dimensional experiments to determine RNA structures, multi-dimensional experiments ensure a better distribution of signals providing a clearer view of the intra-as well as inter-molecular correlations. In this paper, we propose a new graph model to represent three-dimensional homo- and heteronuclear NMR spectra. Following this, we present an enumerative algorithm for signal assignment in the spectra recorded for RNA molecules and we show its performance on exemplary data.