EVALUATION OF CANDIDATE VACCINE TECHNOLOGIES USING AGENT BASED COMPUTATIONAL ME

使用基于代理的计算 ME 评估候选疫苗技术

• 批准号: 8171787
• 负责人: Donald H Burke
• 金额: $ 0.11万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171787
• 关键词: Clinical Data; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Computers; Data Collection; Disease; Evaluation; Foundations; Funding; Grant; Institution; Modeling; Population; Public Health Schools; Research; Research Personnel; Resources; Source; Supercomputing; Technology; Time; United States National Institutes of Health; Universities; Vaccines; Work; base; college; shared memory; simulation; vaccine candidate

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This proposal seeks computational support for our recently funded Bill and Melinda Gates Foundation grant entitled Evaluation of Candidate Vaccine Technologies Using Computational Models. We have assembled a team of researchers from the Graduate School of Public Health at the University of Pittsburgh, Penn State, Imperial College, and the Pittsburgh Supercomputing Center for a unique project that will involve both clinical data collection and computational modeling to help understand how to create vaccine technologies that increase acceptance in key susceptible populations. We are here requesting computational support for the first of the four years of our project to begin the work of creating models to understand the spread of a number of candidate diseases. The support requested is for computer time on the one of the TeraGrids newest machines, Pople, the SGI Altix 4700 at the PSC. The simulations we need to perform require a large amount of shared-memory, which is a unique capability provided by this resource. Justification and estimations of the necessary computations for the upcoming year will be given, and we will also provide justification for Advanced TeraGrid support to assist us in vital aspects of our research, especially in understanding how to most effectively and efficiently use the requested resource.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 该提案寻求对我们最近资助的比尔和梅林达盖茨基金会赠款的计算支持，该基金会题为“使用计算模型评估候选疫苗技术”。我们已经组建了一个由匹兹堡大学公共卫生研究生院、宾夕法尼亚州立大学、帝国理工学院和匹兹堡超级计算中心的研究人员组成的团队，进行一个独特的项目，该项目将涉及临床数据收集和计算建模，以帮助了解如何创建疫苗技术，提高关键易感人群的接受度。我们在这里请求为我们项目四年中的第一年提供计算支持，以开始创建模型的工作，以了解一些候选疾病的传播。所要求的支持是在PSC的TeraGrids最新机器之一Pople，SGI Altix 4700上的计算机时间。我们需要执行的模拟需要大量的共享内存，这是该资源提供的独特功能。将给出来年必要计算的理由和估计，我们还将提供高级TeraGrid支持的理由，以帮助我们在研究的重要方面，特别是了解如何最有效地使用所请求的资源。