Literature DB >> 16855720

Assigning powders to crystal structures by high-resolution (1)H-(1)H double quantum and (1)H-(13)C J-INEPT solid-state NMR spectroscopy and first principles computation. A case study of penicillin G.

Nicolas Mifsud1, Bénédicte Elena, Chris J Pickard, Anne Lesage, Lyndon Emsley.   

Abstract

We show how powder samples at natural isotopic abundance can be assigned to crystal structures by using high-resolution proton and carbon-13 solid-state NMR spectra in combination with first principles calculations. Homonuclear proton double-quantum spectra in combination with through-bond proton-carbon HSQC spectra are used to assign the NMR spectra. We then show that the proton chemical shifts can be included in the process of assigning the spectra to a crystal structure using first principles calculations. The method is demonstrated on the K salt of penicillin G.

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Year:  2006        PMID: 16855720     DOI: 10.1039/b605227d

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  9 in total

1.  Resolving nitrogen-15 and proton chemical shifts for mobile segments of elastin with two-dimensional NMR spectroscopy.

Authors:  Kosuke Ohgo; Walter P Niemczura; Brian C Seacat; Steven G Wise; Anthony S Weiss; Kristin K Kumashiro
Journal:  J Biol Chem       Date:  2012-04-01       Impact factor: 5.157

2.  Exploiting the Synergy of Powder X-ray Diffraction and Solid-State NMR Spectroscopy in Structure Determination of Organic Molecular Solids.

Authors:  Dmytro V Dudenko; P Andrew Williams; Colan E Hughes; Oleg N Antzutkin; Sitaram P Velaga; Steven P Brown; Kenneth D M Harris
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2013-05-03       Impact factor: 4.126

3.  Polymorphs of Theophylline Characterized by DNP Enhanced Solid-State NMR.

Authors:  Arthur C Pinon; Aaron J Rossini; Cory M Widdifield; David Gajan; Lyndon Emsley
Journal:  Mol Pharm       Date:  2015-10-02       Impact factor: 4.939

4.  Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data.

Authors:  Miri Zilka; Dmytro V Dudenko; Colan E Hughes; P Andrew Williams; Simone Sturniolo; W Trent Franks; Chris J Pickard; Jonathan R Yates; Kenneth D M Harris; Steven P Brown
Journal:  Phys Chem Chem Phys       Date:  2017-10-04       Impact factor: 3.676

5.  Structure elucidation of a complex CO2-based organic framework material by NMR crystallography.

Authors:  Julien Leclaire; Guillaume Poisson; Fabio Ziarelli; Gerard Pepe; Frédéric Fotiadu; Federico M Paruzzo; Aaron J Rossini; Jean-Nicolas Dumez; Bénédicte Elena-Herrmann; Lyndon Emsley
Journal:  Chem Sci       Date:  2016-03-22       Impact factor: 9.825

6.  Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.

Authors:  Tobias Morawietz; Nongnuch Artrith
Journal:  J Comput Aided Mol Des       Date:  2020-10-09       Impact factor: 3.686

7.  Bayesian probabilistic assignment of chemical shifts in organic solids.

Authors:  Manuel Cordova; Martins Balodis; Bruno Simões de Almeida; Michele Ceriotti; Lyndon Emsley
Journal:  Sci Adv       Date:  2021-11-26       Impact factor: 14.136

8.  A Machine Learning Model of Chemical Shifts for Chemically and Structurally Diverse Molecular Solids.

Authors:  Manuel Cordova; Edgar A Engel; Artur Stefaniuk; Federico Paruzzo; Albert Hofstetter; Michele Ceriotti; Lyndon Emsley
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2022-09-23       Impact factor: 4.177

9.  Chemical shifts in molecular solids by machine learning.

Authors:  Federico M Paruzzo; Albert Hofstetter; Félix Musil; Sandip De; Michele Ceriotti; Lyndon Emsley
Journal:  Nat Commun       Date:  2018-10-29       Impact factor: 14.919

  9 in total

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