Literature DB >> 26584127

Conformational Sampling by Ab Initio Molecular Dynamics Simulations Improves NMR Chemical Shift Predictions.

Martin Dračínský1,2, Heiko M Möller3, Thomas E Exner3,4.   

Abstract

Car-Parrinello molecular dynamics simulations were performed for N-methyl acetamide as a small test system for amide groups in protein backbones, and NMR chemical shifts were calculated based on the generated ensemble. If conformational sampling and explicit solvent molecules are taken into account, excellent agreement between the calculated and experimental chemical shifts is obtained. These results represent a landmark improvement over calculations based on classical molecular dynamics (MD) simulations especially for amide protons, which are predicted too high-field shifted based on the latter ensembles. We were able to show that the better results are caused by the solute-solvents interactions forming shorter hydrogen bonds as well as by the internal degrees of freedom of the solute. Inspired by these results, we propose our approach as a new tool for the validation of force fields due to its power of identifying the structural reasons for discrepancies between the experimental and calculated data.

Entities:  

Year:  2013        PMID: 26584127     DOI: 10.1021/ct400282h

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


  9 in total

1.  Accurate ab initio prediction of NMR chemical shifts of nucleic acids and nucleic acids/protein complexes.

Authors:  Andrea Victora; Heiko M Möller; Thomas E Exner
Journal:  Nucleic Acids Res       Date:  2014-11-17       Impact factor: 16.971

2.  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

3.  AFNMR: automated fragmentation quantum mechanical calculation of NMR chemical shifts for biomolecules.

Authors:  Jason Swails; Tong Zhu; Xiao He; David A Case
Journal:  J Biomol NMR       Date:  2015-08-02       Impact factor: 2.835

4.  MoD-QM/MM Structural Refinement Method: Characterization of Hydrogen Bonding in the Oxytricha nova G-Quadruplex.

Authors:  Junming Ho; Michael B Newcomer; Christina M Ragain; Jose A Gascon; Enrique R Batista; J Patrick Loria; Victor S Batista
Journal:  J Chem Theory Comput       Date:  2014-10-08       Impact factor: 6.006

5.  Can quantum-chemical NMR chemical shifts be used as criterion for force-field development.

Authors:  Thomas E Exner; Andrea Frank; Heiko M Möller; Martin Dračínský
Journal:  J Cheminform       Date:  2014-03-11       Impact factor: 5.514

Review 6.  A Review on Combination of Ab Initio Molecular Dynamics and NMR Parameters Calculations.

Authors:  Anna Helena Mazurek; Łukasz Szeleszczuk; Dariusz Maciej Pisklak
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

7.  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

8.  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

9.  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 in total

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