Literature DB >> 26053353

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

Andrés M Castillo1,2, Andrés Bernal2, Luc Patiny3, Julien Wist2.   

Abstract

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 © 2015 John Wiley & Sons, Ltd.

Keywords:  automatic assignment; nuclear magnetic resonance; peak-picking

Year:  2015        PMID: 26053353     DOI: 10.1002/mrc.4272

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  2 in total

1.  "Ask Ernö": a self-learning tool for assignment and prediction of nuclear magnetic resonance spectra.

Authors:  Andrés M Castillo; Andrés Bernal; Reiner Dieden; Luc Patiny; Julien Wist
Journal:  J Cheminform       Date:  2016-05-05       Impact factor: 5.514

Review 2.  The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research.

Authors:  James B McAlpine; Shao-Nong Chen; Andrei Kutateladze; John B MacMillan; Giovanni Appendino; Andersson Barison; Mehdi A Beniddir; Maique W Biavatti; Stefan Bluml; Asmaa Boufridi; Mark S Butler; Robert J Capon; Young H Choi; David Coppage; Phillip Crews; Michael T Crimmins; Marie Csete; Pradeep Dewapriya; Joseph M Egan; Mary J Garson; Grégory Genta-Jouve; William H Gerwick; Harald Gross; Mary Kay Harper; Precilia Hermanto; James M Hook; Luke Hunter; Damien Jeannerat; Nai-Yun Ji; Tyler A Johnson; David G I Kingston; Hiroyuki Koshino; Hsiau-Wei Lee; Guy Lewin; Jie Li; Roger G Linington; Miaomiao Liu; Kerry L McPhail; Tadeusz F Molinski; Bradley S Moore; Joo-Won Nam; Ram P Neupane; Matthias Niemitz; Jean-Marc Nuzillard; Nicholas H Oberlies; Fernanda M M Ocampos; Guohui Pan; Ronald J Quinn; D Sai Reddy; Jean-Hugues Renault; José Rivera-Chávez; Wolfgang Robien; Carla M Saunders; Thomas J Schmidt; Christoph Seger; Ben Shen; Christoph Steinbeck; Hermann Stuppner; Sonja Sturm; Orazio Taglialatela-Scafati; Dean J Tantillo; Robert Verpoorte; Bin-Gui Wang; Craig M Williams; Philip G Williams; Julien Wist; Jian-Min Yue; Chen Zhang; Zhengren Xu; Charlotte Simmler; David C Lankin; Jonathan Bisson; Guido F Pauli
Journal:  Nat Prod Rep       Date:  2018-07-13       Impact factor: 13.423

  2 in total

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