Modeling errors in NOE data with a log-normal distribution improves the quality of NMR structures

J Am Chem Soc. 2005 Nov 23;127(46):16026-7. doi: 10.1021/ja055092c.

Abstract

The distribution of the deviation of calculated from measured nuclear Overhauser effect (NOE) intensities is a priori unknown. The use of a log-normal distribution to describe these deviations permits the direct calculation of a structure from the measured intensities without first converting them into distance bounds. We show that the log-normal distribution is a natural choice for describing errors in NOE data and that it improves the accuracy, precision, and quality of the calculated structures compared to the usual bounds representation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Magnetic Resonance Spectroscopy / methods*
  • Models, Chemical