REMOTE PROTEIN SEQUENCE HOMOLOGY DETECTION

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。 本项目的目标是开发一种新的远程蛋白质序列同源性检测算法。我们的方法涉及开发一种更准确的轮廓-轮廓比对算法，用于检测感兴趣查询蛋白质中的PFAM(http://www.sanger.ac.uk/Software/Pfam/)结构域)。我们建议使用TeraGrid来使用改进的PSI-BLAST算法来生成来自Pfam-A和Pfam-B家族的20万个代表序列的蛋白质序列图谱。

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. The goal of this project is to develop a novel algorithm for remote protein sequence homology detection. Our approach involves developing a more accurate profile-profile alignment algorithm for detecting Pfam (http://www.sanger.ac.uk/Software/Pfam/) domains in a query protein of interest. We propose to use the TeraGrid to generate protein sequence profiles on 200,000 representative sequences from the Pfam-A and Pfam-B families using a modified PSI-BLAST algorithm.