Sumner Jacob, Qian Shuo
Neutron Scattering Division, Oak Ridge National Laboratory, United States.
Spallation Neutron Source Second Target Station Project, Oak Ridge National Laboratory, United States.
BBA Adv. 2022 Nov 8;2:100063. doi: 10.1016/j.bbadva.2022.100063. eCollection 2022.
The 3D structure of biomacromolecules, such as protein and DNA/RNA, provide keys to understanding their biological functions. Among many structural biology techniques, small-angle scattering techniques with methods have been widely used to reveal biomolecular structures in relevant solution conditions. Recently, a method called DENsity from Solution Scattering (DENSS) was developed to reconstruct the scattering density directly from biological small-angle X-ray and neutron scattering data instead of using a dummy atom modeling approach. Here, a method named DENSS-Multiple was developed to work simultaneously on multiple datasets from small-angle neutron scattering (SANS) contrast variation data. The easily manipulable neutron contrast has been widely exploited to study the structure and function of biological macromolecules and their complexes in solution. This new method provides a single structural result that includes all the information represented by different contrasts from SANS. The results from DENSS-Multiple generally have better resolution than those from DENSS, and more subtle features are represented by density variations from different phases of a structure. DENSS-Multiple was tested on various examples, including simulated and experimental data. These results, along with DENSS-Multiple's applications and limitations, are discussed herein.
生物大分子(如蛋白质和DNA/RNA)的三维结构为理解其生物学功能提供了关键线索。在众多结构生物学技术中,小角散射技术及其相关方法已被广泛用于揭示相关溶液条件下的生物分子结构。最近,一种名为溶液散射密度法(DENSS)的方法被开发出来,用于直接从生物小角X射线和中子散射数据重建散射密度,而不是使用虚拟原子建模方法。在此,一种名为DENSS-Multiple的方法被开发出来,用于同时处理来自小角中子散射(SANS)对比变化数据的多个数据集。易于操控的中子对比度已被广泛用于研究溶液中生物大分子及其复合物的结构和功能。这种新方法提供了一个单一的结构结果,其中包含了SANS不同对比度所代表的所有信息。DENSS-Multiple的结果通常比DENSS的结果具有更高的分辨率,并且结构不同阶段的密度变化能呈现出更细微的特征。DENSS-Multiple在各种示例上进行了测试,包括模拟数据和实验数据。本文将讨论这些结果以及DENSS-Multiple的应用和局限性。