MEMBRANE BOUND RNA VIRUS REPLICATION COMPLEXES

膜结合 RNA 病毒复制复合物

• 批准号: 7182062
• 负责人: PAUL G. AHLQUIST
• 金额: $ 0.35万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-01 至 2006-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7182062
• 关键词: biomedical resource; computational biology

OVERALL DESCRIPTION (provided by applicant): The overall mission of the National Biomedical Computation Resource is to conduct, catalyze and enable biomedical research by harnessing forefront computational and information technologies. The key aim of this resource is to provide transparent access to the new and emerging grid infrastructure that will deliver integrated compute, data, physical, experimental, and human resources to biomedical scientists investigating a wide range of medically important problems spanning scales of biological organization from small molecule drug design and comparative genomics to diagnostic brain imaging and cardiovascular disease. To achieve this aim, this resource will: 1. Integrate computational data and visualization resources in a transparent, advanced grid environment to enable better access to distributed data, computational resources, instruments and people. 2. Develop and deploy advanced computational tools for modeling and simulation, data analysis, query and integration, three-dimensional image processing, and interactive visualization. 3. Deliver and support advanced grid/Cyber-infrastructure for biomedical researchers. 4. Train a cadre of new researchers such that they have an interdisciplinary, working knowledge both of experimental biology and of computational technology relevant to biomedical scientists. The core technology research will bring together key grid technologies and address biomedical problems that span scales and focus understanding on the relationship between sequence structure and function. The collaborative service, training and dissemination components all relate to expanding the use of these technologies. The core projects include: *Computational grid-enable approaches for simulating and integrating multi-scale, sub-cellular processes, from ab initio quantum mechanics to continuum mechanics. *Data integration and grid-enabled analytic tools for molecular sequences to integrated data sources to created a data laboratory. *Structurally and functionally integrated, grid-aware modeling of cell and organ biophysics. *Visual environments for multi-scale biomedical modeling. *Grid computing and analysis services for multi-scale biomedical applications. Given the scope of the proposed activities, the NBCR will deliver innovative software tools and grid- accessible resources covering different scales of biomedical research.

总体描述（由申请人提供）：国家生物医学中心的总体使命 计算资源旨在通过利用最前沿的计算和信息技术来进行、催化和实现生物医学研究。该资源的主要目标是提供对新兴网格基础设施的透明访问，该基础设施将为生物医学科学家提供集成的计算、数据、物理、实验和人力资源，研究涵盖生物组织规模的广泛医学重要问题，从小分子药物设计和比较基因组学到诊断脑成像和心血管疾病。为了实现这一目标，该资源将： 1. 将计算数据和可视化资源集成在透明、先进的网格中 能够更好地访问分布式数据、计算资源、仪器的环境 和人。 2. 开发和部署先进的计算工具，用于建模和仿真、数据分析、 查询与集成、三维图像处理、交互式可视化。 3. 为生物医学研究人员提供和支持先进的网格/网络基础设施。 4. 培养一批新研究人员，使他们具备实验生物学和与生物医学科学家相关的计算技术的跨学科工作知识。 核心技术研究将汇集关键网格技术并解决生物医学问题 跨越尺度并侧重于理解序列结构和功能之间关系的问题。 协作服务、培训和传播组成部分都与扩大这些技术的使用有关。 核心项目包括： *用于模拟和集成多尺度、子细胞的计算网格方法 从头算量子力学到连续介质力学的过程。 *数据集成和支持网格的分析工具，用于分子序列到集成数据 创建数据实验室的资源。 *细胞和器官生物物理学的结构和功能集成、网格感知建模。 *多尺度生物医学建模的视觉环境。 *面向多尺度生物医学应用的网格计算和分析服务。 鉴于拟议活动的范围，NBCR 将提供涵盖不同规模的生物医学研究的创新软件工具和可通过网格访问的资源。