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Characterization of X-ray diffraction intensity function from a biological molecule for single particle imaging
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- Tokuhisa Atsushi
- RIKEN Cluster for Science and Technology Hub RIKEN Center for Computational Science RIKEN Medical Sciences Innovation Hub Program
Description
<p>An attainable structural resolution of single particle imaging is determined by the characteristics of X-ray diffraction intensity, which depend on the incident X-ray intensity density and molecule size. To estimate the attainable structural resolution even for molecules whose coordinates are unknown, this research aimed to clarify how these characteristics of X-ray diffraction intensity are determined from the structure of a molecule. The functional characteristics of X-ray diffraction intensity of a single biomolecule were theoretically and computationally evaluated. The wavenumber dependence of the average diffraction intensity on a sphere of constant wavenumber was observable by small-angle X-ray solution scattering. An excellent approximation was obtained, in which this quantity was expressed by an integral transform of the product of the external molecular shape and a universal function related to its atom packing. A standard model protein was defined by an analytical form of the first factor characterized by molecular volume and length. It estimated the numerically determined wavenumber dependence with a worst-case error of approximately a factor of five. The distribution of the diffraction intensity on a sphere of constant wavenumber was also examined. Finally, the correlation of diffraction intensities in the wavenumber space was assessed. This analysis enabled the estimation of an attainable structural resolution as a function of the incident X-ray intensity density and the volume and length of a target molecule, even in the absence of molecular coordinates.</p>
Journal
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- Biophysics and Physicobiology
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Biophysics and Physicobiology 16 (0), 430-443, 2019
The Biophysical Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390845702328360960
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- NII Article ID
- 130007752756
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- ISSN
- 21894779
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed