Development of Methods for Biomolecular NMR, Structure and Design

生物分子核磁共振、结构和设计方法的开发

• 批准号: 9000360
• 负责人: David Gorenstein
• 金额: $ 34.94万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-08-01 至 1994-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9000360&HistoricalAwards=false
• 关键词: Development; Methods; Biomolecular; NMR; Structure

This award provides funds for the further development of the use of Nuclear Magnetic resonance (NMR) for studies of the 3 dimensional structure of proteins and nucleic acids in solution. The approach developed by Gorenstein and his colleagues, the hybrid matrix/complete relaxation matrix program (or MORASS), has proven highly productive. Planned work should increase the accuracy and ease of application of these techniques. Determination of the three dimensional structure of biopolymers such as proteins and nucleic acids, and its relationship to the biological function of the polymers, is a central problem in modern biology. The most successful approach to the study of large molecules like proteins has come with the use of crystallographic methods. These methods, however, are limited to study of the highly ordered structures found in crystals; the results may or may not be directly applicable to the structure of (active) molecules in solution. Many investigators now see the use of NMR as the most promising approach to studies of the solution structure of a variety of biomolecules. However, further refinement of experimental techniques and the analytical tools needed for interpretation of the spectroscopic data is crucial to progress in the application of this powerful tool.

该奖项为进一步发展使用核磁共振（NMR）来研究溶液中蛋白质和核酸的三维结构提供了资金。由Gorenstein和他的同事开发的方法，混合矩阵/完全松弛矩阵程序（或MORASS），已被证明是非常高效的。有计划的工作应该增加这些技术应用的准确性和便利性。确定生物聚合物（如蛋白质和核酸）的三维结构及其与聚合物生物学功能的关系，是现代生物学中的一个中心问题。研究像蛋白质这样的大分子的最成功的方法是使用晶体学方法。然而，这些方法仅限于研究在晶体中发现的高度有序结构；结果可能会也可能不会直接适用于溶液中（活性）分子的结构。许多研究人员现在认为使用核磁共振是研究各种生物分子溶液结构的最有前途的方法。然而，进一步完善解释光谱数据所需的实验技术和分析工具对于这一强大工具的应用至关重要。