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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
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
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
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
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
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
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 versionAcknowledgements- 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
- 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
- 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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