SYSTEMATIC GROWTH OF PROTEIN CRYSTALS FOR HIGH-RESOLUTION CRYSTALLOGRAPHIC AN

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们的工作旨在解决结晶学中的一个瓶颈--适合于超高分辨率X射线和中子研究的可溶性和膜结合蛋白质单晶的系统生长。我们的目标是通过使用高通量、机器人蛋白质结晶筛选技术来解决这个问题，该技术促进了结构基因组学世界中的筛选和晶体生长。改变多个参数的效果可以快速、系统地筛选和评价，并可同时测定数十个蛋白质对1000个S变量的影响。我们正在研究30多种不同的蛋白质系统，包括细胞、信号和膜结合蛋白以及医学、制药、工业、生物防御和生物能源研究中感兴趣的酶。

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. Our work aims to address a bottleneck in crystallography - the systematic growth of single crystals of soluble and membrane bound proteins that are suitable for ultra-high resolution x-ray and neutron studies. We aim to address this problem by using the high throughput, robotic protein crystallization screening techniques that have facilitated screening and crystal growth in the structural genomics world. The effects of varying multiple parameters can be screened and evaluated rapidly, systematically and with dozens of proteins assayed against 1000?s of variables at the same time. We are studying more than 30 different protein systems, including cellular, signaling and membrane bound proteins and enzymes of interest in medical, pharmaceutical, industrial, bio-defense and bio-energy research.