SYSTEMATIC GROWTH OF PROTEIN CRYSTALS FOR HIGH-RESOLUTION CRYSTALLOGRAPHIC AN

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 我们的工作旨在解决晶体学中的瓶颈-可溶性和膜结合蛋白质单晶的系统生长，适用于超高分辨率X射线和中子研究。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，促进结构基因组学世界的筛选和晶体生长来解决这个问题。不同的多个参数的影响，可以筛选和评估迅速，系统和几十个蛋白质测定对1000？变量与此同时我们正在研究超过30种不同的蛋白质系统，包括细胞，信号和膜结合蛋白质和酶在医学，制药，工业，生物防御和生物能源研究的兴趣。

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.