Automated protein NMR structure determination using wavelet de-noised NOESY spectra

Felician Dancea, Ulrich Günther*

*Corresponding author for this work
21 Citations (Scopus)


A major time-consuming step of protein NMR structure determination is the generation of reliable NOESY cross peak lists which usually requires a significant amount of manual interaction. Here we present a new algorithm for automated peak picking involving wavelet de-noised NOESY spectra in a process where the identification of peaks is coupled to automated structure determination. The core of this method is the generation of incremental peak lists by applying different wavelet de-noising procedures which yield peak lists of a different noise content. In combination with additional filters which probe the consistency of the peak lists, good convergence of the NOESY-based automated structure determination could be achieved. These algorithms were implemented in the context of the ARIA software for automated NOE assignment and structure determination and were validated for a polysulfide-sulfur transferase protein of known structure. The procedures presented here should be commonly applicable for efficient protein NMR structure determination and automated NMR peak picking.

Original languageEnglish
JournalJournal of Biomolecular NMR
Issue number3
Pages (from-to)139-152
Number of pages14
Publication statusPublished - 11.2005

Research Areas and Centers

  • Academic Focus: Center for Infection and Inflammation Research (ZIEL)


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