A generalized approach to automated NMR peak list editing: Application to reduced dimensionality triple resonance spectra

Hunter N.B. Moseley, Nadeem Riaz, James M. Aramini, Thomas Szyperski, Gaetano T. Montelione

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


We present an algorithm and program called Pattern Picker that performs editing of raw peak lists derived from multidimensional NMR experiments with characteristic peak patterns. Pattern Picker detects groups of correlated peaks within peak lists from reduced dimensionality triple resonance (RD-TR) NMR spectra, with high fidelity and high yield. With typical quality RD-TR NMR data sets, Pattern Picker performs almost as well as human analysis, and is very robust in discriminating real peak sets from noise and other artifacts in unedited peak lists. The program uses a depth-first search algorithm with short-circuiting to efficiently explore a search tree representing every possible combination of peaks forming a group. The Pattern Picker program is particularly valuable for creating an automated peak picking/editing process. The Pattern Picker algorithm can be applied to a broad range of experiments with distinct peak patterns including RD, G-matrix Fourier transformation (GFT) NMR spectra, and experiments to measure scalar and residual dipolar coupling, thus promoting the use of experiments that are typically harder for a human to analyze. Since the complexity of peak patterns becomes a benefit rather than a drawback, Pattern Picker opens new opportunities h NMR experiment design.

Original languageEnglish
Pages (from-to)263-277
Number of pages15
JournalJournal of Magnetic Resonance
Issue number2
StatePublished - Oct 2004

Bibliographical note

Funding Information:
We thank Jeff Mills for acquiring the RD-TR NMR experimental data and David Snyder for helpful discussions and comments on the manuscript. This work was supported by grants from the National Science Foundation (MCB-9407569 and DBI-9974200 Postdoctoral fellowship to H.N.B.M.) and the National Institutes of Health (P50 GM62413). Nadeem Riaz was a Henry Rutgers Undergraduate Scholar. The Pattern Picker program is available by request from the authors.


  • Automated NMR data analysis
  • Depth-first search
  • Pattern Picker, Peak list editing
  • Reduced dimensionality

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Nuclear and High Energy Physics
  • Condensed Matter Physics


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