Literature DB >> 16526654

Calculating slow-motional electron paramagnetic resonance spectra from molecular dynamics using a diffusion operator approach.

David E Budil1, Kenneth L Sale, Khaled A Khairy, Peter G Fajer.   

Abstract

A number of groups have utilized molecular dynamics (MD) to calculate slow-motional electron paramagnetic resonance (EPR) spectra of spin labels attached to biomolecules. Nearly all such calculations have been based on some variant of the trajectory method introduced by Robinson, Slutsky and Auteri (J. Chem. Phys. 1992,96, 2609-2616). Here we present an alternative approach that is specifically adapted to the diffusion operator-based stochastic Liouville equation (SLE) formalism that is also widely used to calculate slow-motional EPR line shapes. Specifically, the method utilizes MD trajectories to derive diffusion parameters such as the rotational diffusion tensor, diffusion tilt angles, and expansion coefficients of the orienting potential, which are then used as direct inputs to the SLE line shape program. This approach leads to a considerable improvement in computational efficiency over trajectory-based methods, particularly for high frequency, high field EPR. It also provides a basis for deconvoluting the effects of local spin label motion and overall motion of the labeled molecule or domain: once the local motion has been characterized by this approach, the label diffusion parameters may be used in conjunction with line shape analysis at lower EPR frequencies to characterize global motions. The method is validated by comparison of the MD predicted line shapes to experimental high frequency (250 GHz) EPR spectra.

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Year:  2006        PMID: 16526654     DOI: 10.1021/jp054738k

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  26 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.  Dynamics of the nitroxide side chain in spin-labeled proteins.

Authors:  Fabio Tombolato; Alberta Ferrarini; Jack H Freed
Journal:  J Phys Chem B       Date:  2006-12-28       Impact factor: 2.991

3.  Structure and dynamics of the force-generating domain of myosin probed by multifrequency electron paramagnetic resonance.

Authors:  Yuri E Nesmelov; Roman V Agafonov; Adam R Burr; Ralph T Weber; David D Thomas
Journal:  Biophys J       Date:  2008-03-13       Impact factor: 4.033

4.  Simulation of nitroxide electron paramagnetic resonance spectra from brownian trajectories and molecular dynamics simulations.

Authors:  Susan C DeSensi; David P Rangel; Albert H Beth; Terry P Lybrand; Eric J Hustedt
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

Review 5.  Site-directed spin labeling studies on nucleic acid structure and dynamics.

Authors:  Glenna Z Sowa; Peter Z Qin
Journal:  Prog Nucleic Acid Res Mol Biol       Date:  2008

Review 6.  Spin labeling EPR.

Authors:  Johann P Klare; Heinz-Jürgen Steinhoff
Journal:  Photosynth Res       Date:  2009-08-29       Impact factor: 3.573

7.  Simulating electron spin resonance spectra of nitroxide spin labels from molecular dynamics and stochastic trajectories.

Authors:  Deniz Sezer; Jack H Freed; Benoît Roux
Journal:  J Chem Phys       Date:  2008-04-28       Impact factor: 3.488

8.  Distance measurements on a dual-labeled TOAC AChR M2δ peptide in mechanically aligned DMPC bilayers via dipolar broadening CW-EPR spectroscopy.

Authors:  Harishchandra Ghimire; Eric J Hustedt; Indra D Sahu; Johnson J Inbaraj; Robert McCarrick; Daniel J Mayo; Monica R Benedikt; Ryan T Lee; Stuart M Grosser; Gary A Lorigan
Journal:  J Phys Chem B       Date:  2012-03-19       Impact factor: 2.991

9.  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

10.  Using Markov models to simulate electron spin resonance spectra from molecular dynamics trajectories.

Authors:  Deniz Sezer; Jack H Freed; Benoit Roux
Journal:  J Phys Chem B       Date:  2008-08-12       Impact factor: 2.991

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