Literature DB >> 26583557

Automated Fragmentation QM/MM Calculation of Amide Proton Chemical Shifts in Proteins with Explicit Solvent Model.

Tong Zhu1, John Z H Zhang1,2, Xiao He1.   

Abstract

We have performed a density functional theory (DFT) calculation of the amide proton NMR chemical shift in proteins using a recently developed automated fragmentation quantum mechanics/molecular mechanics (AF-QM/MM) approach. Systematic investigation was carried out to examine the influence of explicit solvent molecules, cooperative hydrogen bonding effects, density functionals, size of the basis sets, and the local geometry of proteins on calculated chemical shifts. Our result demonstrates that the predicted amide proton ((1)HN) NMR chemical shift in explicit solvent shows remarkable improvement over that calculated with the implicit solvation model. The cooperative hydrogen bonding effect is also shown to improve the accuracy of (1)HN chemical shifts. Furthermore, we found that the OPBE exchange-correlation functional is the best density functional for the prediction of protein (1)HN chemical shifts among a selective set of DFT methods (namely, B3LYP, B3PW91, M062X, M06L, mPW1PW91, OB98, OPBE), and the locally dense basis set of 6-311++G**/4-31G* is shown to be sufficient for (1)HN chemical shift calculation. By taking ensemble averaging into account, (1)HN chemical shifts calculated by the AF-QM/MM approach can be used to validate the performance of various force fields. Our study underscores that the electronic polarization of protein is of critical importance to stabilizing hydrogen bonding, and the AF-QM/MM method is able to describe the local chemical environment in proteins more accurately than most widely used empirical models.

Entities:  

Year:  2013        PMID: 26583557     DOI: 10.1021/ct300999w

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


  14 in total

1.  Converging nuclear magnetic shielding calculations with respect to basis and system size in protein systems.

Authors:  Joshua D Hartman; Thomas J Neubauer; Bethany G Caulkins; Leonard J Mueller; Gregory J O Beran
Journal:  J Biomol NMR       Date:  2015-05-21       Impact factor: 2.835

Review 2.  Using quantum chemistry to estimate chemical shifts in biomolecules.

Authors:  David A Case
Journal:  Biophys Chem       Date:  2020-09-16       Impact factor: 2.352

3.  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

4.  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

5.  Modeling pH-Dependent NMR Chemical Shift Perturbations in Peptides.

Authors:  Efrosini Artikis; Charles L Brooks
Journal:  Biophys J       Date:  2019-06-12       Impact factor: 4.033

6.  Dynamic Water-Mediated Hydrogen Bonding in a Collagen Model Peptide.

Authors:  Iwen Fu; David A Case; Jean Baum
Journal:  Biochemistry       Date:  2015-10-06       Impact factor: 3.162

7.  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

8.  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

9.  Revealing origin of decrease in potency of darunavir and amprenavir against HIV-2 relative to HIV-1 protease by molecular dynamics simulations.

Authors:  Jianzhong Chen; Zhiqiang Liang; Wei Wang; Changhong Yi; Shaolong Zhang; Qinggang Zhang
Journal:  Sci Rep       Date:  2014-11-03       Impact factor: 4.379

10.  Binding modes of three inhibitors 8CA, F8A and I4A to A-FABP studied based on molecular dynamics simulation.

Authors:  Jianzhong Chen; Jinan Wang; Weiliang Zhu
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

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