Five Hierarchical Statistical Models for Protein Folding

蛋白质折叠的五种层次统计模型

• 批准号: 0448072
• 负责人: Christopher Bystroff
• 金额: --
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0448072&HistoricalAwards=false
• 关键词: Five; Hierarchical; Statistical; Models; Protein

Rensselaer Polytechnic Institute is awarded a grant to study the folding pathways of proteins. Using data mining and modeling experiments the project will develop 5 statistical models to represent the various stages of the path to a folded protein. The models represent a decision tree in the sequence-structure space, where each model feeds into the following step: from Initiation, folding of short motifs; Propagation, local extensions of structured regions; Condensation, contacts between pairs of local units; Packing, units fold into a space filling way; to Topology, ordering of loop lengths, etc. to yield the fully folded structure. Green Fluorescent Protein will be used as a test case, with strategic point mutations providing a means for experimental verification of intermediate structures and the overall success of the method. The project will be integrated in the undergraduate education at RPI and will offer stimulating experiences for the students to work in a lab.

Rensselaer Polytechnic Institute被授予研究蛋白质折叠途径的补助金。使用数据挖掘和建模实验，该项目将开发5个统计模型来表示折叠蛋白质路径的各个阶段。这些模型表示序列结构空间中的决策树，其中每个模型都进入以下步骤：从起始，短基序的折叠;传播，结构化区域的局部扩展;凝聚，局部单元对之间的接触;包装，单元折叠成空间填充方式;拓扑，环长度的排序等，以产生完全折叠的结构。将使用绿色荧光蛋白作为测试用例，其中策略性点突变提供了中间结构的实验验证方法和方法的总体成功。该项目将被整合到RPI的本科教育中，并将为学生在实验室工作提供刺激的经验。