Literature DB >> 21279205

A general approach for prediction of motional EPR spectra from Molecular Dynamics (MD) simulations: application to spin labelled protein.

Vasily S Oganesyan1.   

Abstract

A general approach for the prediction of EPR spectra directly and completely from single dynamical trajectories generated from Molecular Dynamics (MD) simulations is described. The approach is applicable to an arbitrary system of electron and nuclear spins described by a general form of the spin-Hamiltonian for the entire motional range. It is shown that for a reliable simulation of motional EPR spectra only a single truncated dynamical trajectory generated until the point when correlation functions of rotational dynamics are completely relaxed is required. The simulation algorithm is based on a combination of the propagation of the spin density matrix in the Liouville space for this initial time interval and the use of well defined parameters calculated entirely from the dynamical trajectory for prediction of the evolution of the spin density matrix at longer times. A new approach is illustrated with the application to a nitroxide spin label MTSL attached to the protein sperm whale myoglobin. It is shown that simulation of the EPR spectrum, which is in excellent agreement with experiment, can be achieved from a single MD trajectory. Calculations reveal the complex nature of the dynamics of a spin label which is a superposition of the fast librational motions within dihedral states, of slow rotameric dynamics among different conformational states of the nitroxide tether and of the slow rotational diffusion of the protein itself. The significance of the slow rotameric dynamics of the nitroxide tether on the overall shape of the EPR spectrum is analysed and discussed.

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Year:  2011        PMID: 21279205     DOI: 10.1039/c0cp01068e

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


  9 in total

1.  Simulating the dynamics and orientations of spin-labeled side chains in a protein-DNA complex.

Authors:  Jessica L Sarver; Jacqueline E Townsend; Gayathri Rajapakse; Linda Jen-Jacobson; Sunil Saxena
Journal:  J Phys Chem B       Date:  2012-03-20       Impact factor: 2.991

2.  Trajectory-Based Simulation of EPR Spectra: Models of Rotational Motion for Spin Labels on Proteins.

Authors:  Peter D Martin; Bengt Svensson; David D Thomas; Stefan Stoll
Journal:  J Phys Chem B       Date:  2019-11-21       Impact factor: 2.991

3.  A Global Minimization Toolkit for Batch-Fitting and χ2 Cluster Analysis of CW-EPR Spectra.

Authors:  William R Lindemann; Ty Christoff-Tempesta; Julia H Ortony
Journal:  Biophys J       Date:  2020-10-14       Impact factor: 4.033

4.  Direct simulation of magnetic resonance relaxation rates and line shapes from molecular trajectories.

Authors:  David P Rangel; Philippe C Baveye; Bruce H Robinson
Journal:  J Phys Chem B       Date:  2012-05-25       Impact factor: 2.991

5.  Visualizing transient dark states by NMR spectroscopy.

Authors:  Nicholas J Anthis; G Marius Clore
Journal:  Q Rev Biophys       Date:  2015-02       Impact factor: 5.318

6.  Using molecular dynamics trajectories to predict nuclear spin relaxation behaviour in large spin systems.

Authors:  Ilya Kuprov; Laura C Morris; John N Glushka; James H Prestegard
Journal:  J Magn Reson       Date:  2020-12-13       Impact factor: 2.229

7.  MtsslWizard: In Silico Spin-Labeling and Generation of Distance Distributions in PyMOL.

Authors:  Gregor Hagelueken; Richard Ward; James H Naismith; Olav Schiemann
Journal:  Appl Magn Reson       Date:  2012-02-03       Impact factor: 0.831

8.  Direct Prediction of EPR Spectra from Lipid Bilayers: Understanding Structure and Dynamics in Biological Membranes.

Authors:  Andrea Catte; Gaye F White; Mark R Wilson; Vasily S Oganesyan
Journal:  Chemphyschem       Date:  2018-06-19       Impact factor: 3.102

9.  Probing columnar discotic liquid crystals by EPR spectroscopy with a rigid-core nitroxide spin probe.

Authors:  Hemant Gopee; Andrew N Cammidge; Vasily S Oganesyan
Journal:  Angew Chem Int Ed Engl       Date:  2013-07-22       Impact factor: 15.336

  9 in total

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