Integrated Resource for Protein Recognition Studies

蛋白质识别研究综合资源

• 批准号: 8917057
• 负责人: ILYA VAKSER
• 金额: $ 28.55万
• 依托单位: UNIVERSITY OF KANSAS LAWRENCE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-03-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8917057
• 关键词: Accounting; Benchmarking; Biology; Cereals; Communities; Complex; Computational Technique; Computer Assisted; Computer Simulation; Computer software; Data; Data Set; Databases; Development; Disease; Docking; Drug Design; Drug Targeting; Environment; Feedback; Genome; Goals; Health; Imagery; Individual; Internet; Kinetics; Knowledge; Left; Libraries; Life; Medicine; Methodology; Methods; Modeling; Molecular; Molecular Structure; Online Systems; Outcome; Play; Probability; Procedures; Process; Property; Protein Databases; Proteins; Research; Resource Development; Resources; Role; Sampling; Source; Structural Models; Structure; System; Techniques; Testing; Update; base; conformational conversion; flexibility; genome-wide; genome-wide analysis; improved; insight; model development; protein complex; protein protein interaction; protein structure; rapid growth; reconstruction; structural biology; structural genomics; three dimensional structure; tool; user-friendly

DESCRIPTION (provided by applicant): The protein-protein docking problem is one of the focal points of activity in computational structural biology. The 3D structure of a protein-protein complex, generally, is more difficult to determine experimentally than the structure of an individual protein. Adequate computational techniques to model protein interactions are important because of the growing number of known protein 3D structures, particularly in the context of structural genomics. The project will improve our understanding of fundamental properties of protein interaction and will facilitate development of better tools for prediction of protein complexes. The Specific Aims of the project are: (1) Protein recognition data resources, (2) Advanced docking methodology, and (3) Integrated web-based environment. The long-term goals are: (a) development of an automated tool for a reliable modeling of protein interactions, which will account for dynamic changes in the molecular structures and kinetics of protein association and (b) utilization of this tool to understand principles of protein interaction. The ultimate goal is to recreate the network of protein interactions in genomes and understand the structure-base mechanisms of these interactions. The systematic, detailed description of these interactions will provide insights into the basic principles of life processes at the molecular levl. The focus of the proposal is an integrated system of resources for studying protein-protein 3D interactions. The core dataset consists of regularly updated and annotated co-crystallized protein-protein structures. The database of experimentally determined and simulated unbound complexes will be further expanded upon the core dataset. It will serve as a comprehensive benchmark set for the development of docking techniques. The database of complexes of protein models will provide a unique expansion of the core dataset for the development of docking capabilities in protein modeling, including genome-wide studies. The docking decoys will provide the community-wide testing ground for new scoring functions. The docking procedure will be developed further to make it more adequate to the challenges of structural modeling of protein-protein complexes. The development will make use of the rapidly growing body of experimentally determined structures of protein-protein complexes. The docking methods will utilize available knowledge on the protein targets, combined with the improved use of structural and physicochemical recognition factors. Coarse-graining of the docking in terms of structural representation, energy function, and sampling will be systematically explored, making use of the interface rotamer libraries and probabilities of conformational transitions. The docking procedure and the related databases will continue to be provided as a web-based public resource.

描述（由申请人提供）：蛋白质-蛋白质对接问题是计算结构生物学活动的焦点之一。蛋白质的3D结构 一般来说，复杂的蛋白质比单个蛋白质的结构更难通过实验确定。适当的计算技术来模拟蛋白质的相互作用是很重要的，因为越来越多的已知蛋白质的三维结构，特别是在结构基因组学的背景下。该项目将提高我们对蛋白质相互作用的基本性质的理解，并将促进开发更好的预测蛋白质相互作用的工具。 蛋白质复合物该项目的具体目标是：（1）蛋白质识别数据资源，（2）先进的对接方法，（3）集成的基于Web的环境。长期目标是：（a）开发一种自动化工具，用于蛋白质相互作用的可靠建模，这将解释蛋白质缔合的分子结构和动力学的动态变化，以及（B）利用该工具来理解蛋白质相互作用的原理。最终目标是重建基因组中蛋白质相互作用的网络，并了解这些相互作用的结构基础机制。对这些相互作用的系统、详细的描述将有助于从分子水平上了解生命过程的基本原理。该提案的重点是研究蛋白质-蛋白质3D相互作用的综合资源系统。 核心数据集由定期更新和注释的共结晶蛋白质-蛋白质结构组成。实验测定和模拟未结合复合物的数据库将在核心数据集上进一步扩展。它将成为发展对接技术的一套全面基准。蛋白质模型复合物数据库将为开发蛋白质建模（包括全基因组研究）中的对接能力提供核心数据集的独特扩展。对接诱饵将为新的评分功能提供社区范围的测试场。对接过程将进一步发展，使其更适合蛋白质-蛋白质复合物的结构建模的挑战。该开发将利用快速增长的实验确定的蛋白质-蛋白质复合物结构体。对接方法将利用现有的蛋白质靶点知识，结合结构和物理化学识别因子的改进使用。粗粒化的对接的结构表示，能量函数和采样方面将系统地探讨，利用接口旋转异构体库和构象转变的概率。对接 程序和相关数据库将继续作为网上公共资源提供。