小角度散射
散射
质量(理念)
计算机科学
领域(数学分析)
集合(抽象数据类型)
功能(生物学)
小角X射线散射
边疆
仪表(计算机编程)
物理
生物
光学
数学
地理
数学分析
量子力学
进化生物学
程序设计语言
考古
操作系统
作者
David A. Jacques,Jill Trewhella
摘要
The last decade has seen a dramatic increase in the use of small-angle scattering for the study of biological macromolecules in solution. The drive for more complete structural characterization of proteins and their interactions, coupled with the increasing availability of instrumentation and easy-to-use software for data analysis and interpretation, is expanding the utility of the technique beyond the domain of the biophysicist and into the realm of the protein scientist. However, the absence of publication standards and the ease with which 3D models can be calculated against the inherently 1D scattering data means that an understanding of sample quality, data quality, and modeling assumptions is essential to have confidence in the results. This review is intended to provide a road map through the small-angle scattering experiment, while also providing a set of guidelines for the critical evaluation of scattering data. Examples of current best practice are given that also demonstrate the power of the technique to advance our understanding of protein structure and function.
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