STRUCTURE DETERMINATION OF A MEMBRANE PROTEIN USING SULFUR SAD

使用硫 SAD 测定膜蛋白的结构

• 批准号: 8169923
• 负责人: S M SOLTIS
• 金额: $ 0.92万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8169923
• 关键词: Computer Retrieval of Information on Scientific Projects Database; Data; Funding; Grant; Helium; Image; Institution; Membrane Proteins; Methods; Positioning Attribute; Research; Research Personnel; Resolution; Resources; Source; Stream; Structure; Sulfur; United States National Institutes of Health; extracellular

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. An extracellular membrane protein failed to incorporate Se and other heavy atoms for structure determination. A strategy was developed to collect S data for structure determination (the S K-edge is at 5.015 A). Data were recorded at a wavelength of 2 A. A helium cold stream was incorporated to reduce background scatter. Highly redundant data were collected yielding a redundancy of 22 (3 positions on the crystal, 360 degrees of data each, 1080 degrees total) yielding an Rsym of 10% to 2.1 A resolution. Images were collected in an inverse beam mode using a wedge of 1 image (for every 0.5 deg. oscillation, phi was rotated 180 degrees). The data will be analyzed to establish the structure and the relevance of the method.

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 细胞外膜蛋白未能纳入硒和其他重原子的结构测定。 开发了一种策略来收集S数据用于结构测定（S K边缘在5.015 A处）。 在2A的波长下记录数据。 加入冷氦流以减少背景散射。 收集高度冗余的数据，产生22个冗余（晶体上的3个位置，每个位置360度的数据，总共1080度），产生10%至2.1 A分辨率的Rsym。 使用1个图像的楔形（每0.5度）以反向光束模式收集图像。振荡，φ旋转180度）。 将对数据进行分析，以确定该方法的结构和相关性。