English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Modeling Errors in NOE Data with a Log-normal Distribution Improves the Quality of NMR Structures

Rieping, W., Habeck, M., & Nilges, M. (2005). Modeling Errors in NOE Data with a Log-normal Distribution Improves the Quality of NMR Structures. J. Am. Chem. Soc., 127, 16026-16027. Retrieved from http://www.bio.cam.ac.uk/zope/isd/publications/lognormal_2005.pdf/view.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Rieping, W, Author
Habeck, M1, Author           
Nilges, M, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2005-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: J. Am. Chem. Soc.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 127 Sequence Number: - Start / End Page: 16026 - 16027 Identifier: -