Literature DB >> 26574306

Enhancing NMR Prediction for Organic Compounds Using Molecular Dynamics.

Eugene E Kwan1, Richard Y Liu1.   

Abstract

NMR spectroscopy is a crucial tool in organic chemistry for the routine characterization of small molecules, structural elucidation of natural products, and study of reaction mechanisms. Although there is evidence that thermal motions strongly affect observed resonances, conventional predictions are performed only on stationary structures. Here we show that quasiclassical molecular dynamics provides a highly accurate and broadly applicable method for improving shielding predictions. Gas-phase values of the absolute shieldings of protons and carbons are predicted to nearly within experimental uncertainty, while the chemical shifts of large systems such as natural products are closely reproduced. Importantly, these results are obtained without the use of any empirical corrections. Our analysis suggests that the linear scaling factors currently employed are primarily a correction for vibrational effects. As a result, our method extends the reach of prediction methods to the study of molecules with unusual dynamics such as the iconic and controversial [18]annulene. Our predictions agree closely with experiment at both low and high temperatures and provide strong evidence that the equilibrium structure of [18]annulene is planar and aromatic.

Entities:  

Year:  2015        PMID: 26574306     DOI: 10.1021/acs.jctc.5b00856

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  11 in total

1.  Metabolite Structure Assignment Using In Silico NMR Techniques.

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Journal:  Anal Chem       Date:  2020-07-15       Impact factor: 6.986

2.  Structure elucidation and absolute configuration of metabolites from the soil-derived fungus Dictyosporium digitatum using spectroscopic and computational methods.

Authors:  Trong D Tran; Brice A P Wilson; Curtis J Henrich; Karen L Wendt; Jarrod King; Robert H Cichewicz; Alberto M Stchigel; Andrew N Miller; Barry R O'Keefe; Kirk R Gustafson
Journal:  Phytochemistry       Date:  2020-02-17       Impact factor: 4.072

3.  Improved Quantum Chemical NMR Chemical Shift Prediction of Metabolites in Aqueous Solution toward the Validation of Unknowns.

Authors:  Felix Hoffmann; Da-Wei Li; Daniel Sebastiani; Rafael Brüschweiler
Journal:  J Phys Chem A       Date:  2017-04-17       Impact factor: 2.781

4.  Homologation of Electron-Rich Benzyl Bromide Derivatives via Diazo C-C Bond Insertion.

Authors:  Atanu Modak; Juan V Alegre-Requena; Louis de Lescure; Kathryn J Rynders; Robert S Paton; Nicholas J Race
Journal:  J Am Chem Soc       Date:  2021-12-13       Impact factor: 15.419

5.  Computational NMR Spectroscopy of Ionic Liquids: [C4C1im]Cl/Water Mixtures.

Authors:  Giacomo Saielli
Journal:  Molecules       Date:  2020-04-29       Impact factor: 4.411

6.  Fully Automated Quantum-Chemistry-Based Computation of Spin-Spin-Coupled Nuclear Magnetic Resonance Spectra.

Authors:  Stefan Grimme; Christoph Bannwarth; Sebastian Dohm; Andreas Hansen; Jana Pisarek; Philipp Pracht; Jakob Seibert; Frank Neese
Journal:  Angew Chem Int Ed Engl       Date:  2017-10-11       Impact factor: 15.336

Review 7.  Polyacetylene: Myth and Reality.

Authors:  Bruce S Hudson
Journal:  Materials (Basel)       Date:  2018-02-06       Impact factor: 3.623

8.  Predicting 19 F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.

Authors:  Johannes C B Dietschreit; Annika Wagner; T Anh Le; Philipp Klein; Hermann Schindelin; Till Opatz; Bernd Engels; Ute A Hellmich; Christian Ochsenfeld
Journal:  Angew Chem Int Ed Engl       Date:  2020-05-25       Impact factor: 15.336

9.  An automated framework for NMR chemical shift calculations of small organic molecules.

Authors:  Yasemin Yesiltepe; Jamie R Nuñez; Sean M Colby; Dennis G Thomas; Mark I Borkum; Patrick N Reardon; Nancy M Washton; Thomas O Metz; Justin G Teeguarden; Niranjan Govind; Ryan S Renslow
Journal:  J Cheminform       Date:  2018-10-26       Impact factor: 5.514

10.  Rapid prediction of NMR spectral properties with quantified uncertainty.

Authors:  Eric Jonas; Stefan Kuhn
Journal:  J Cheminform       Date:  2019-08-06       Impact factor: 5.514

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