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

作者信息

Rieping Wolfgang, Habeck Michael, Nilges Michael

机构信息

Unité de Bioinformatique Structurale, CNRS URA 2185, Institut Pasteur, 25-28 rue du docteur Roux, F-75015 Paris, France.

出版信息

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

DOI:10.1021/ja055092c
PMID:16287280
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.

摘要

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