使用光子晶体生物传感器识别蛋白质-蛋白质相互作用的调节器
James T Heeres1, Seok-Ho Kim, Benjamin J Leslie
1Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA.
Journal of the American Chemical Society
|December 9, 2009
概括
这项研究引入了一种高通量光子晶体生物传感器试验,用于识别蛋白质-蛋白质相互作用调节器. 该试验使用一种用于蛋白质固定的新型化合物,并检测结合事件,从而实现高效的药物发现.
科学领域:
- 生物技术是生物技术.
- 生物化学 生物化学
- 药物发现 药物发现 药物发现
背景情况:
- 蛋白与蛋白相互作用 (PPI) 在生物过程中至关重要.
- 识别PPI的调节剂对于开发生物探针和治疗方法至关重要.
- 目前用于识别PPI调节器的现有方法可能具有挑战性和低吞吐量.
研究的目的:
- 开发一种高通量试验,用于识别蛋白质-蛋白质相互作用的调节剂.
- 为此目的展示光子晶体 (PC) 生物传感器的实用性.
- 在PC生物传感器上展示His6标记蛋白的新型固定化策略.
主要方法:
- 利用d-生物素-tris-NTA (BTN) 混合化合物将His6标记的蛋白质固定在PC生物传感器表面上.
- 通过监测PC生物传感器峰值波长的变化来检测蛋白质-蛋白质结合事件.
- 通过使用三个已知的蛋白质-蛋白质对验证了测定:caspase-9-XIAP,caspase-7-XIAP和FKBP12-FRB.
主要成果:
- 成功证明了PC生物传感器测试的高通量能力.
- 该BTN化合物使His6标记蛋白质的高效和特定固定成为可能.
- 该试验准确地检测出对测试的蛋白质对及其调节器的结合事件.
结论:
- 开发的PC生物传感器测试提供了一个强大的和高效的平台,用于PPI调节器的高通量选.
- 这种方法有助于识别新的生物探针和潜在的候选药物.
- 该试验的多功能性允许研究各种蛋白质-蛋白质相互作用.
相关概念视频
Protein-protein Interfaces
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...


