Automated Distant Homology Modeling Meta-server

自动远程同源建模元服务器

• 批准号: 7047566
• 负责人: DANIEL FISCHER
• 金额: $ 26.07万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT BUFFALO
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7047566
• 关键词: biochemical evolution; bioengineering /biomedical engineering; bioinformatics; chemical models; computational biology; computer program /software; computer simulation; computer system design /evaluation; functional /structural genomics; model design /development; protein folding; protein sequence

DESCRIPTION (provided by applicant): The goal of this proposal is to facilitate post-genomic era research by creating a protein structure prediction meta-server for close and distant homology modeling (HM). The proposed meta-server will be a fully automated, fast, widely available, autonomous, multi-component system, aimed at significantly increasing the number of proteins that can be characterized in-silico using current methods. Currently, successful distant HM requires considerable human expertise, including the manual detection and selection of templates and of sequence-template alignments using various fold-recognition (FR) methods, the adjustment of alignments and the refinement, evaluation and selection of alternative models. We aim at automating this process, using state-of-the-art FR meta-prediction technology. We propose 5 specific aims: 1) Evaluate the performance of various top-of-the-line, autonomous FR methods in order to identify the most accurate ones; 2) Develop improved algorithms to generate more accurate FR hybrid models and to better select FR- generated sequence-template alignments; 3) Develop improved methodologies to integrate the information from the FR models and/or the selected alignments to obtain more accurate refined full-atom models; 4) Test, optimize and implement all external software in-house; and 5) Apply the meta-server to specific problems of biological, experimental interest. From the users' perspective this meta-system will facilitate accomplishing one of the goals of Structural Genomics projects, namely, to better exploit the structural information from the experimentally solved proteins in order to obtain relatively accurate computational models for the majority of the remaining proteins, including those at close and those at distant HM distances. The long term goal is to create a meta-server that will become a standard and will revolutionize the protein structure prediction field in an analogous way to the revolution that PSI-BLAST brought about in the sequence-comparison field, a few years ago.

描述（由申请人提供）：该提案的目的是通过创建蛋白质结构预测元元服务器（HM）来促进基因组时代的研究。所提出的元服务器将是一种全自动，快速，可用，自主，多组分系统，旨在显着增加可以使用当前方法在silico中表征的蛋白质数量。当前，成功的HM需要大量的人类专业知识，包括使用各种折叠识别方法（FR）方法的手动检测和选择模板的手动检测和序列模板对齐，调整对齐方式以及替代模型的改进，评估和选择。我们旨在使用最先进的元预测技术自动化此过程。我们提出了5个具体目标：1）评估各种顶级自主FR方法的性能，以识别最准确的方法； 2）开发改进的算法以生成更准确的FR混合模型，并更好地选择FR-FER的序列模板对齐； 3）开发改进的方法，以整合来自FR模型和/或所选比对的信息，以获取更准确的完善全原子模型； 4）测试，优化和实施内部所有外部软件； 5）将元服务器应用于生物学，实验兴趣的特定问题。从用户的角度来看，该元系统将有助于实现结构基因组学项目的目标之一，即更好地利用实验求解的蛋白质中的结构信息，以便为剩余的蛋白质（包括在近距离距离内和遥远的HM距离）中获得相对准确的计算模型。长期的目标是创建一个将成为标准的元服务器，并以类似的方式与Psi-blast在几年前的序列繁殖领域中带来的革命相似。