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• 批准号: 7182042
• 负责人: WILLIAM F LOOMIS
• 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/7182042
• 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）：国家生物医学的整体任务 计算资源是通过利用前沿计算和信息技术来进行，催化和启用生物医学研究。该资源的关键目的是向新的和新兴的网格基础架构提供透明的访问，该基础架构将向生物医学科学家提供综合的计算，数据，物理，实验和人力资源，这些科学家研究了从小分子药物设计和比较脑部基因组学到诊断脑部脑部成像和心脏病患病的生物组织范围的广泛医学重要问题。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到透明的高级网格中 可以更好地访问分布式数据，计算资源，工具的环境 和人。 2。开发和部署用于建模和仿真的高级计算工具，数据分析， 查询和集成，三维图像处理以及交互式可视化。 3。为生物医学研究人员提供并支持高级网格/网络基础结构。 4.培训一群新的研究人员的干部，使他们拥有与生物医学科学家有关的实验生物学和计算技术的跨学科知识。 核心技术研究将汇集关键的网格技术并解决生物医学 跨越规模并集中理解序列结构与功能之间的关系的问题。 协作服务，培训和传播组件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的亚细胞的计算网格启用方法 从头算量子力学到连续力学的过程。 *用于集成数据的分子序列的数据集成和启用网格的分析工具 来源创建数据实验室。 *细胞和器官生物物理学的结构和功能整合，网格感知的建模。 *多尺度生物医学建模的视觉环境。 *用于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将提供创新的软件工具和涵盖不同生物医学研究范围的网格可访问资源。