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Contents

Motivation

  • Protein dynamics are essential for life
  • NMR dispersion experiments can be used to quantify protein dynamics
  • Dispersion experiments are difficult to analyze
    • Under-determined – many fitting parameters compared to amount of observed data
    • Visual inspection of curve and data does not validate fit accuracy
      • Curve fit may go through data points even if parameters are inaccurate
    • Dynamics are complex
      • Global or local protein motions?
    • What is the nature of the dynamic process?
      • Unfolding? Exchange towards defined minor state? Conformational selection?
  • Currently available RD analysis software does not provide graphical interface nor advanced display options
  • Less "black box", more "hands on"

Features of program

  • Graphical user interface
  • Point-and-click functionality for ease of use

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Accurate site-specific fits to two-state exchange model at any timescale

  • Global fits of data at multiple temperatures, magnetic fields and quantum coherences
  • Carver-Richards formulae describes two-state exchange at any timescale (not fast approximation)
  • Statistical comparison of two-state exchange and no-exchange models

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Refinement of best fit for maximum accuracy

  • Grid search of initial fitting conditions helps identify global minimum of χ2
  • Produces plots of χ2-space to determine quality of fit
  • User can drive fit towards most reasonable solution
  • Ill-defined parameters can be marked to avoid mis-interpretation and maximize extraction of information

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Examine dynamic motion of entire molecule

  • Group analysis and parameter examiner displays results in novel ways
  • Can identify global motions and nature of minor excited state

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Optimization and education with RD Simulator

  • Explore the nature of RD phenomena to plan future experiments and to enhance understanding of RD
  • Export simulated data for subsequent fitting and analysis

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Access the power of Matlab

  • Utilize Matlab's built-in functionality to help display and interpret your results
  • Matlab Central provides a large community for documentation and user support link

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Online documentation and support

  • Documentation can be read on the Wiki page link
  • Issues can be reported and reviewed online link
  • Email the author and a community of users for support link

Download latest version

Acknowledgements

  • Foster Lab members for debugging during development
  • Advisor Prof. Mark Foster link
  • The Ohio State University Biochemistry Dept. link
  • The Ohio State University Biophysics Program link
  • The Ohio State University link
  • National Institutes of Health link

Citing GUARDD

  • Please cite your usage of GUARDD in BOTH ways
    1. Kleckner, I. R., & Foster, M. P. (in press). GUARDD: User-friendly MATLAB software for rigorous analysis of CPMG RD NMR data. Journal of Biomolecular NMR. doi: 10.1007/s10858-011-9589-y
    2. http://code.google.com/p/guardd/

Author

  • (C) Ian Kleckner
  • Mark Foster's Lab
  • The Ohio State University
  • Columbus, OH, USA
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