Self Assembled Lipid Icosohedra for Highthroughput Membrane Protein Structure Det

用于高通量膜蛋白结构检测的自组装脂质二十面体

• 批准号: 7659632
• 负责人: Michael H. B. Stowell
• 金额: $ 30.3万
• 依托单位: UNIVERSITY OF COLORADO
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7659632
• 关键词: Categories; Disease; Drug Design; Electron Microscopy; Future; Human; Laboratories; Lipids; Membrane Proteins; Methods; Pharmacologic Substance; Proteins; Structure; Validation; base; novel; novel strategies; particle; protein structure; success

DESCRIPTION (provided by applicant): This proposal aims to minimize the three bottlenecks of membrane proteins structure determination with a novel approach that combines high throughput electron microscopy single particle analysis with a novel self-assembling method. Validation of this approach will be realized by application to the structural analysis of several proteins which represent major categories of eukaryotic membrane proteins of biomedical importance. The overall objective of this proposal will be determining their structures and to simultaneously fully develop this approach to tackle further membrane protein targets in our own and other laboratories. The majority of known human pharmaceutical targets are membrane proteins and the future success of structure based drug design efforts will rely heavily on membrane protein structural information. This proposal will minimize the three bottlenecks of membrane proteins structure determination with a novel approach that combines high throughput electron microscopy single particle analysis with a novel self-assembling method. The success of this project will lower the barrier for obtaining the needed information for structure based drug design to proceed for a wide range of diseases.

描述（由申请人提供）：该建议旨在将膜蛋白结构的三个瓶颈与一种新型方法结合在一起，该方法结合了高吞吐量电子显微镜单粒子分析与一种新型的自组装方法。该方法的验证将通过应用于几种蛋白质的结构分析来实现，这些蛋白代表了生物医学重要性的真核膜蛋白的主要类别。该提案的总体目标是确定其结构，并同时完全开发这种方法，以应对我们自己和其他实验室中的进一步膜蛋白靶标。大多数已知的人类药物靶标是膜蛋白，基于结构的药物设计工作的未来成功将在很大程度上取决于膜蛋白结构信息。该建议将使用一种新型方法将膜蛋白结构的三个瓶颈确定最小化，该方法将高吞吐量电子显微镜单粒子分析与一种新型的自组装方法结合在一起。该项目的成功将降低障碍，以获取基于结构的药物设计所需的信息，以进行多种疾病。