Protein Surface Mapping: Experimentation and Computation

蛋白质表面绘图：实验和计算

• 批准号: 7239476
• 负责人: ROBERT L. HETTICH
• 金额: $ 24.05万
• 依托单位: UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7239476
• 关键词: Algorithms; Amino Acids; Area; Chemicals; Complex; Condition; Data; Development; Drug Formulations; Goals; Hydroxyl Radical; Label; Maps; Measurement; Membrane Proteins; Methods; Outcome; Performance; Proteins; Protocols documentation; Range; Reaction; Reagent; Research; Research Personnel; Resolution; Solvents; Spectrometry; Statistically Significant; Structural Protein; Structure; Surface; Techniques; Work; base; novel; programs; protein folding; protein structure; structural biology

DESCRIPTION (provided by applicant): The proposed research is directed at demonstration of a protein surface mapping technique based on novel chemical labeling methods that can be combined with high resolution mass spectrometric characterization to identify surface accessible amino acids residues in native-folded proteins. This information then will be utilized in an integrated fashion with computational structural prediction methods to enhance their accuracies and throughput. If successful, this method could enhance dramatically the structural characterization throughput (albeit at moderate resolution) of a wide range of proteins, and provide critical input into the refinement of computational prediction methods. To achieve this goal, four specific aims are proposed. Specific Aim 1 focuses on formulation and characterization of an experimental surface mapping protocol that includes a toolbox of labeling reagents for protein structural determinations. We propose to optimize our radical labeling approach by defining the experimental parameters for quantitative labeling, background reduction, and alternate reagent development. The goal of this task will be to develop an experimental toolbox for labeling that includes a variety of reagents. Specific Aim 2 is directed toward demonstration of the surface mapping technique for large proteins and protein mixtures, two areas that are difficult for XRC and NMR techniques to examine. Specific Aim 3 involves demonstration of the surface mapping technique for characterizing protein conformational changes, to illustrate how this experimental approach can provide more than only low resolution structural information. Specific Aim 4 seeks to integrate surface mapping data as experimental constraints for computational protein structural prediction, involving both protein threading algorithms (PROSPECT) and ab initio methods (Rosetta). One favorable outcome if the proposed experimental approach is successful is the large amount of structural data at moderate resolution that can be generated from protein mixtures. At present, this experimental capability is non-existent.

描述（由申请人提供）：拟议的研究旨在证明基于新型化学标记方法的蛋白质表面作图技术，该技术可与高分辨率质谱表征相结合，以识别天然折叠蛋白质中的表面可及氨基酸残基。然后，这些信息将与计算结构预测方法以集成的方式使用，以提高其准确性和吞吐量。如果成功的话，这种方法可以显着提高结构表征的吞吐量（虽然在中等分辨率）的蛋白质范围广泛，并提供关键输入到计算预测方法的改进。为实现这一目标，提出了四个具体目标。具体目标1侧重于制定和表征的实验表面映射协议，其中包括一个工具箱的标记试剂的蛋白质结构测定。我们建议通过定义定量标记、背景降低和替代试剂开发的实验参数来优化我们的自由基标记方法。这项任务的目标将是开发一个实验工具箱，包括各种试剂的标记。具体目标2是针对大型蛋白质和蛋白质混合物的表面映射技术的演示，这两个领域是XRC和NMR技术难以检查的。具体目标3涉及用于表征蛋白质构象变化的表面映射技术的演示，以说明这种实验方法如何提供不仅仅是低分辨率的结构信息。具体目标4旨在整合表面映射数据作为计算蛋白质结构预测的实验约束，涉及蛋白质线程算法（前景）和从头算方法（Rosetta）。如果所提出的实验方法是成功的，一个有利的结果是可以从蛋白质混合物中产生大量的中等分辨率的结构数据。目前，这种实验能力是不存在的。