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research article

Fast and shift-insensitive similarity comparisons of NMR using a tree-representation of spectra

Mauricio Castillo, Andres
•
Uribe, Lalita
•
Patiny, Luc  
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2013
Chemometrics And Intelligent Laboratory Systems

An efficient method to extract and store information from NMR spectra is proposed that is suitable for comparison and construction of a search engine. This method based on trees doesn't require any peak picking or any pre-treatment of the data and is found to outperform the currently available methods, both in terms of compactness and velocity. Our approach was tested for 1D proton spectra and 2D HSQC spectra and compared with the method proposed by Pretsch and coworkers [1,2] [Bodis et al. 2007, Bodis et al. 2009]. Additionally, the correspondence between spectral and structural similarity was evaluated for both methods. (C) 2013 Elsevier By. All rights reserved.

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Type
research article
DOI
10.1016/j.chemolab.2013.05.009
Web of Science ID

WOS:000324011300001

Author(s)
Mauricio Castillo, Andres
Uribe, Lalita
Patiny, Luc  
Wist, Julien
Date Issued

2013

Publisher

Elsevier Science Bv

Published in
Chemometrics And Intelligent Laboratory Systems
Volume

127

Start page

1

End page

6

Subjects

NMR

•

Search engine

•

Spectral similarity

•

Binary trees

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ISIC-GE  
Available on Infoscience
November 4, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/96690
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