Mathematics – Logic
Scientific paper
Nov 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..224m&link_type=abstract
Proc. SPIE Vol. 4123, p. 224-230, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.
Mathematics
Logic
Scientific paper
In order to understand at the atomic level how a biological macromolecule functions, a detailed knowledge of its 3D structure is essential. Unlike soluble proteins, integral membrane proteins are usually recalcitrant to the growth of large, well-ordered 3D crystals, which is necessary for high-resolution x-ray crystallographic analyses. An alternative approach is to grown thin, one molecule thick 2D crystals in lipid bilayers and apply electron crystallography to solve the structures. Lipids surround the membrane protein in such a 2D crystal, which allows for a direct assay of function. Another notable advantage of electron crystallography is that phases can be directly obtained form the images unlike in the case of x-ray where phases must be determined indirectly by methods such as isomorphous replacement etc. The availability of the phase information partially compensates for the lack of data at the highest resolution (typically approximately 3.5A and beyond) because of low-contrast in the images. We briefly review the method of recording high-resolution data from many tilted views of a 2D crystal, merging of phase and amplitudes form images and diffraction patterns respectively and the calculation of a 3D density map. The results from such an analysis applied to the human water channel is discussed in the context of its structure/function relationship.
Cheng Anchi
Melnyk Peter
Mitra Alok K.
Reddy Vijay
Ren Gang
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