Literature DB >> 26580780

NMR Order Parameter Determination from Long Molecular Dynamics Trajectories for Objective Comparison with Experiment.

Yina Gu1, Da-Wei Li1, Rafael Brüschweiler1.   

Abstract

Functional protein motions covering a wide range of time scales can be studied, among other techniques, by NMR and by molecular dynamics (MD) computer simulations. MD simulations of proteins now routinely extend into the hundreds of nanoseconds time scale range exceeding the overall tumbling correlation times of proteins in solution by several orders of magnitude. This provides a unique opportunity to rigorously validate these simulations by quantitative comparison with model-free order parameters derived from NMR relaxation experiments. However, presently there is no consensus on how such a comparison is best done. We address here how this can be accomplished in a way that is both efficient and objective. For this purpose, we analyze (15)N R1 and R2 and heteronuclear {(1)H}-(15)N NOE NMR relaxation parameters computed from 500 ns MD trajectories of 10 different protein systems using the model-free analysis. The resulting model-free S(2) order parameters are then used as targets for S(2) values computed directly from the trajectories by the iRED method by either averaging over blocks of variable lengths or by using exponentially weighted snapshots (wiRED). We find that the iRED results are capable of reproducing the target S(2) values with high accuracy provided that the averaging window is chosen 5 times the length of the overall tumbling correlation time. These results provide useful guidelines for the derivation of NMR order parameters from MD for a meaningful comparison with their experimental counterparts.

Year:  2014        PMID: 26580780     DOI: 10.1021/ct500181v

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


  19 in total

1.  Distinct dynamics and interaction patterns in H- and K-Ras oncogenic P-loop mutants.

Authors:  Abdallah Sayyed-Ahmad; Priyanka Prakash; Alemayehu A Gorfe
Journal:  Proteins       Date:  2017-05-31

2.  NMR Resonance Assignment Methodology: Characterizing Large Sparsely Labeled Glycoproteins.

Authors:  Gordon R Chalmers; Alexander Eletsky; Laura C Morris; Jeong-Yeh Yang; Fang Tian; Robert J Woods; Kelley W Moremen; James H Prestegard
Journal:  J Mol Biol       Date:  2019-04-26       Impact factor: 5.469

3.  Residue-Specific Interactions of an Intrinsically Disordered Protein with Silica Nanoparticles and their Quantitative Prediction.

Authors:  Mouzhe Xie; Alexandar L Hansen; Jiaqi Yuan; Rafael Brüschweiler
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2016-09-21       Impact factor: 4.126

Review 4.  NMR Methods for Characterizing the Basic Side Chains of Proteins: Electrostatic Interactions, Hydrogen Bonds, and Conformational Dynamics.

Authors:  Dan Nguyen; Chuanying Chen; B Montgomery Pettitt; Junji Iwahara
Journal:  Methods Enzymol       Date:  2018-09-27       Impact factor: 1.600

5.  Insights from molecular dynamics simulations for computational protein design.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  Mol Syst Des Eng       Date:  2017-01-09

6.  Further Optimization and Validation of the Classical Drude Polarizable Protein Force Field.

Authors:  Fang-Yu Lin; Jing Huang; Poonam Pandey; Chetan Rupakheti; Jing Li; Benoı T Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2020-04-27       Impact factor: 6.006

7.  ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

Authors:  James A Maier; Carmenza Martinez; Koushik Kasavajhala; Lauren Wickstrom; Kevin E Hauser; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2015-07-23       Impact factor: 6.006

8.  Backbone assignments and conformational dynamics in the S. typhimurium tryptophan synthase α-subunit from solution-state NMR.

Authors:  Varun V Sakhrani; Eduardo Hilario; Bethany G Caulkins; Mary E Hatcher-Skeers; Li Fan; Michael F Dunn; Leonard J Mueller
Journal:  J Biomol NMR       Date:  2020-05-15       Impact factor: 2.835

9.  Direct NOE simulation from long MD trajectories.

Authors:  G Chalmers; J N Glushka; B L Foley; R J Woods; J H Prestegard
Journal:  J Magn Reson       Date:  2016-01-21       Impact factor: 2.229

10.  Rapid Determination of Fast Protein Dynamics from NMR Chemical Exchange Saturation Transfer Data.

Authors:  Yina Gu; Alexandar L Hansen; Yu Peng; Rafael Brüschweiler
Journal:  Angew Chem Int Ed Engl       Date:  2016-01-28       Impact factor: 15.336

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