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Statistical strategy for stereospecific hydrogen NMR assignments: validation procedures for the floating prochirality
R A Beckman1, S Litwin, A J Wand
1Fox Chase Cancer Center, Philadelphia, PA 19111.
Journal of Biomolecular NMR
|November 1, 1993
Summary
Stereospecific hydrogen NMR assignments using the floating prochirality method can be validated. Careful statistical analysis and precautions ensure reproducible assignments, even with limited Nuclear Overhauser Effect (NOE) data.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Chemistry
Background:
- Stereospecific hydrogen NMR assignments are crucial for determining molecular structures.
- The floating prochirality method offers a computational approach to these assignments.
- Statistical validation is essential for the reliability of NMR-derived structural data.
Purpose of the Study:
- To evaluate the statistical validity and reproducibility of stereospecific hydrogen NMR assignments.
- To identify limitations of current floating prochirality methods.
- To present validated protocols for assignment and statistical validation.
Main Methods:
- Utilized approximately 1300 distance constraints from NOESY spectra of oxidized horse cytochrome c.
- Performed repeated calculations using various computational strategies on the whole molecule and a fragment.
- Applied statistical analysis to the distribution of prochiral orientations during structure refinement.
Main Results:
- Reproducible assignments were achieved for up to one-third of centers using only NOE constraints with appropriate precautions.
- Adjustments for multiple statistical comparisons and inter-prochiral center interactions are critical.
- Inadequately constrained systems, like molecular fragments, can yield misleading results.
Conclusions:
- The floating prochirality method, when statistically validated, provides reliable stereospecific hydrogen NMR assignments.
- Careful consideration of statistical interactions and constraints is necessary for accurate structure determination.
- Protocols for assignment and validation enhance the robustness of NMR-based structural studies.