Protein Functional Site Characterization and Analysis

蛋白质功能位点表征和分析

• 批准号: 7642315
• 负责人: PHILIP E BOURNE
• 金额: $ 52.39万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7642315
• 关键词: Address; Algorithms; Bioinformatics; Biological; Biophysics; Cells; Characteristics; Chemicals; Classification; Communities; Community Participation; Computer software; Data; Databases; Development; Foundations; Genome; Genomics; Goals; Homology Modeling; Imagery; Internet; Knowledge; Ligands; Mining; Modeling; Mutation; Noise; Ontology; Outcome; Performance; Process; Property; Proteins; Proteomics; Research Personnel; Resources; Scientist; Semantics; Services; Site; Structure; base; cheminformatics; comparative; data integration; design; experience; flexibility; functional genomics; genome-wide; graphical user interface; interest; meetings; programs; protein function; protein structure; protein structure function; sound; statistics; structural genomics; syntax; tool; web interface

DESCRIPTION (provided by applicant): The broad objective of this proposal is to establish a computational platform to predict and understand protein functions at multi-scales, from molecule to cell, through integrating data from structural genomics, functional genomics and chemical genomics, and using tools derived from bioinformatics, chemical informatics and biophysics. There is a serious need to meet this objective in an era of proteomics where proteins are easily isolated, yet not so easily functionally classified with any degree of confidence. As the first step we propose here to: (1) design and implement scalable, accurate, reliable and robust algorithms and associated software for predicting, comparing, searching, and classifying protein functional sites and proteinligand interactions; (2) design and implement an ontology-driven protein functional site and protein-ligand interaction database that integrates comprehensive structure, function, and mutation information and supports quantitative modeling of protein structure and functions at the genome scale; (3) Establish first an intuitive graphical user interfaces (GUI) for scientists to visualize, analyze and mine functional site information for comparative proteomics and second establish an application programming interface (API) for programmers to develop new algorithms and applications using the foundation proposed here. The results of this effort will be disseminated through the Protein Data Bank which is used by over 10,000 scientists every day.

描述（由申请人提供）：本提案的总体目标是建立一个计算平台，通过整合结构基因组学、功能基因组学和化学基因组学的数据，并使用来自生物信息学、化学信息学和生物物理学的工具，在从分子到细胞的多尺度上预测和理解蛋白质的功能。在蛋白质组学时代，我们迫切需要实现这一目标，因为蛋白质很容易被分离出来，但却不那么容易以任何程度的信心对功能进行分类。作为第一步，我们建议：(1)设计和实现可扩展、准确、可靠和健壮的算法和相关软件，用于预测、比较、搜索和分类蛋白质功能位点和蛋白质配体相互作用；(2)设计并实现本体驱动的蛋白质功能位点和蛋白质-配体相互作用数据库，该数据库集成了全面的结构、功能和突变信息，支持基因组尺度下蛋白质结构和功能的定量建模；(3)首先建立一个直观的图形用户界面（GUI），供科学家可视化、分析和挖掘比较蛋白质组学的功能位点信息；其次建立一个应用程序编程接口（API），供程序员利用本文提出的基础开发新的算法和应用程序。这项工作的结果将通过每天有超过10,000名科学家使用的蛋白质数据库进行传播。