IMAGE RECONSTRUCTION OF ICOSAHEDRAL PARTICLES

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。 虽然EMAN方法已经成功地用于病毒粒子的二十面体和不对称重建，但对于大的病毒粒子，EMAN方法的粒子取向细化是一个非常耗费CPU的过程。使用NSF支持的TeraGrid计算设施，花费了100万个CPU小时来确定epsilon15噬菌体的4.5°图谱(酱等人，2008年)。使用NCMI可用的集群与外部超级计算机分配相结合的类似结构确定花费了12个多月的时间来从23,000个颗粒图像中提炼出P22噬菌体的单一结构。因此，我们为如此大的对象寻找替代方法，具有相同的精度但更高的CPU效率。

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. Though EMAN has been used successfully for icosahedral and asymmetric reconstruction of virus particles, the EMAN method of particle orientation refinement is a very CPU intensive process for large virus particles. One million CPU hours were consumed to determine the 4.5 ¿ map of the epsilon15 phage (Jiang et al., 2008) using the NSF supported TeraGrid computing facility . A similar structure determination using the clusters available at the NCMI combined with outside supercomputer allocations has taken over 12 months to refine a single structure of P22 phage from ~23,000 particle images. We, therefore, look for alternative methods for such large objects, with the same accuracy but a higher CPU efficiency.