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Direct determination of crystallographic phases for diffraction data from lipid bilayers. I. Reliability and phase
1Electron Diffraction Department, Medical Foundation of Buffalo, Inc., New York 14203.
Biophysical Journal
|December 1, 1991
Summary
This study enhances direct lipid lamellar packing analysis using probabilistic phase invariant estimates. The method successfully determined structures for most phospholipids, glycerides, and cerebrosides, improving upon previous lipid bilayer analysis techniques.
Area of Science:
- Biophysics
- Structural Biology
- X-ray Crystallography
Background:
- Direct analysis of lipid lamellar packing is crucial for understanding membrane structure and function.
- Previous methods for phase determination in lipid bilayers had limitations in scope and accuracy.
Purpose of the Study:
- To evaluate and expand direct analysis of lipid lamellar packing using probabilistic estimates of sigma 1- and sigma 2-triplet phase invariants.
- To assess the method's success across a wider range of lipid bilayer structures, including phospholipids, glycerides, and cerebrosides.
Main Methods:
- Generated lamellar diffraction data at approximately 3 A resolution from x-ray crystal structures of ten lipid types.
- Employed ab initio phase determination using triplet phase invariants.
- Utilized density modification (flattening) for refining partial phase determinations.
Main Results:
- Successful ab initio phase determination for six out of ten diverse lipid bilayer structures.
- A seventh structure was solved using a limited set of sigma 2-triples and A2 value hierarchy.
- Modified criteria enabled analysis of bilayers with solvent at the origin.
- Density modification effectively refined partial phase determinations.
Conclusions:
- The probabilistic estimation of triplet phase invariants is a robust method for direct lipid lamellar packing analysis.
- The approach is effective for a variety of lipid structures and can be refined using density modification techniques.
- Supplementing standard figures of merit with density smoothness evaluation aids in identifying similar structures.