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Fast and shift-insensitive similarity comparisons of NMR using a tree-representation of spectra
Journal article   Peer reviewed

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

Andres Mauricio Castillo, Lalita Uribe, Luc Patiny and Julien Wist
Chemometrics and intelligent laboratory systems, Vol.127, pp.1-6
2013

Abstract

Automation & Control Systems Chemistry Chemistry, Analytical Computer Science Computer Science, Artificial Intelligence Instruments & Instrumentation Mathematics Mathematics, Interdisciplinary Applications Physical Sciences Science & Technology Statistics & Probability Technology
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.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.123 Protein Stucture, Folding & Modelling
2.123.248 Solid-State NMR
Web Of Science research areas
Automation & Control Systems
Chemistry, Analytical
Computer Science, Artificial Intelligence
Instruments & Instrumentation
Mathematics, Interdisciplinary Applications
Statistics & Probability
ESI research areas
Chemistry
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