Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Fully automatic assignment of small molecules' NMR spectra without relying on chemical shift predictions
 
research article

Fully automatic assignment of small molecules' NMR spectra without relying on chemical shift predictions

Castillo, Andres M.
•
Bernal, Andres  
•
Patiny, Luc  
Show more
2015
Magnetic Resonance In Chemistry

We present a method for the automatic assignment of small molecules' NMR spectra. The method includes an automatic and novel self-consistent peak-picking routine that validates NMR peaks in each spectrum against peaks in the same or other spectra that are due to the same resonances. The auto-assignment routine used is based on branch-and-bound optimization and relies predominantly on integration and correlation data; chemical shift information may be included when available to fasten the search and shorten the list of viable assignments, but in most cases tested, it is not required in order to find the correct assignment. This automatic assignment method is implemented as a web-based tool that runs without any user input other than the acquired spectra. Copyright (C) 2015 John Wiley & Sons, Ltd.

  • Details
  • Metrics
Type
research article
DOI
10.1002/mrc.4272
Web of Science ID

WOS:000359802300008

Author(s)
Castillo, Andres M.
Bernal, Andres  
Patiny, Luc  
Wist, Julien
Date Issued

2015

Publisher

Wiley-Blackwell

Published in
Magnetic Resonance In Chemistry
Volume

53

Issue

8

Start page

603

End page

611

Subjects

nuclear magnetic resonance

•

automatic assignment

•

peak-picking

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ISIC-GE  
Available on Infoscience
September 28, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/118822
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés