Surface feature characterization and expression analysis of protein interactions

高通量蛋白质组学实验和结构基因组学努力正在产生大量的相互作用和结构数据，但在结构水平上表征所有生物分子相互作用是不可行或不可能的。对于大多数感兴趣的交互作用，将需要有效的建模手段。这项拟议的研究将开发有效地对蛋白质-蛋白质相互作用的目标群体进行建模的方法，并有更大的目标来开发预测任何相互作用的方法。许多蛋白质-蛋白质相互作用是由一种识别特定多肽序列的结构介导的，通常在第二种蛋白质的环状或非结构化区域。如果是这样的话，需要一种能够将结构蛋白对接到非结构区域的识别方法来识别许多相关的生物相互作用。拟议的研究解决了这个问题。

High-throughput proteomics experiments and structural genomics efforts are generating a huge amount of interaction and structural data, but it will not be feasible or possible to characterize all biomolecular interactions at the level of structure. Effective means of modeling will be required for the majority of interactions of interest. The proposed research will develop methods to effectively model a target group of protein-protein interactions, and has the larger goal of developing methods for predicting any interaction. Many protein-protein interactions are mediated by one structure recognizing a particular peptide sequence, often in a loop or unstructured region of the second protein. If this is the case, a recognition method that can dock a structured protein to an unstructured region will be needed to identify many relevant biological interactions. The proposed research addresses this problem.