New Algorithms for Detecting Sequence and Structure Simi

该项目分为4个子项目： 1.用于改进多序列比对的迭代自动方法。目前构建CDD数据库的出发点是从SMART和PFAM等蛋白质家族模型中引入的多重比对。由于所有已知的多序列比对算法都不太完美，因此导入的比对存在错误，现在可以手动删除。该项目的目标是减少和简化这种手工工作。 2.检测结构相似性的新方法。这个子项目的目标是开发新的方法来快速检测结构相似性，这将补充目前使用的方法（VAST）。因此，特别注意循环结构和索引方法的发展。 3.基于序列和结构相似性的方法在研究蛋白质进化（和协同进化）中的应用。 4.蛋白质结构分类与预测

The project is divided into 4 subprojects: 1.Iterative automatic methods for refining multiple sequence alignment. Currently starting point of constructing CDD database is a multiple alignment imported form protein family models as SMART and PFAM. Since all known multiple sequence alignment algorithms are less than perfect the imported alignment have errors that are now removed by hand. The goal of the project is to provide reduce and simplify this manual work. 2.New approaches for detecting structural similarities. The goal of this subproject is to develop new approaches for fast detection of structural similarities that would complement currently used method (VAST). Thus particular attention is given to loop structure and developing of indexing methods. 3.Applications of methods based on sequence and structure similarities to study protein evolution (and co-evolution). 4. Classifaction and prediction of protein structure