New Algorithms for Detecting Sequence and Structure Simi

检测序列和结构模拟的新算法

• 批准号: 6988555
• 负责人: Teresa M. Przytycka
• 金额: --
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6988555
• 关键词: artificial intelligence; computer assisted sequence analysis; mathematical model; model design /development; molecular biology information system; protein sequence; protein structure function

The project is divided into 3 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 graph theory similarity relations between domains. The similarity relation between proteins sequences or structures can be conveniently represented as a graph. The goal of this subproject is to study the properties of such graphs and develop tools for their analysis.

本项目分为3个子项目：