MRI: Acquisition of an Advanced Computational Infrastructure for Modeling Biological Systems

MRI：获取用于生物系统建模的先进计算基础设施

• 批准号: 0821625
• 负责人: Joseph Evans
• 金额: $ 30万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0821625&HistoricalAwards=false
• 关键词: MRI; Acquisition; Advanced; Computational; Infrastructure

Proposal #: CNS 08-21625PI(s): Clark, Terry W. Kieweg, Sarah L.; Kuczera, Krzysztof; Lushington, Gerry H.; Peterson, A. TownsendInstitution: University of Kansas Lawrence, KS 66045-7563Title: MRI/Acq.: Acq. of an Advanced Computational Infrastructure for Modeling Biological SystemsProject Proposed:This project, acquiring a parallel cluster for scientist to conduct modeling on biological systems, aims to- Deploy the cluster and integrate it with an existing high-capacity storage facility for projects, - Leverage the equipment through the group of investigators towards interdisciplinary projects, and- Advance collective computing expertise.The cluster will be managed to provide a minimal set of resources on demand to investigators participating on the proposal with additional resources allocated to the community for promoting computational growth for new users and educational programs. The resource enables qualitative advancements in critical areas in the computational biosciences. Species niche modeling and context-dependent evolution of DNA is fundamental to downstream management of environmental resources through broadening understanding of organism response to environmental factors at macroscopic and microscopic levels. Other work aims to engineer microbial delivery agents for use in combating the AIDS epidemic. Molecular studies advance methodologies for accurately modeling phenomenological and microscopic properties of molecular interactions of protein and DNS, with other work including development of high throughput predictive models for small molecule reactivity.Broader Impacts: This project increases opportunities for students to gain experience in parallel computing as part of course work, enhances research opportunities for graduate students, supports the career development of junior faculty, and establishes a potential for a broader high performance parallel computing base within the university and surrounding area. A faculty coordinator is specifically assigned to assist in recruitment and retention of students from underrepresented groups.

提案编号：CNS 08-21625PI(s)：Clark、Terry W. Kieweg、Sarah L.；库切拉，克日什托夫；卢辛顿，格里·H.； Peterson, A. Townsend 机构：堪萨斯大学 Lawrence, KS 66045-7563 标题：MRI/Acq.：Acq。用于生物系统建模的先进计算基础设施项目建议：该项目为科学家获取一个并行集群来对生物系统进行建模，旨在 - 部署该集群并将其与项目现有的大容量存储设施集成， - 利用通过研究人员小组为跨学科项目提供设备，以及 - 推进集体计算专业知识。集群将被管理为参与提案的研究人员按需提供最低限度的资源，并为社区分配额外的资源，以促进新的计算增长用户和教育计划。该资源使计算生物科学的关键领域取得了质的进步。通过扩大对宏观和微观层面上生物体对环境因素反应的理解，物种生态位建模和 DNA 的环境相关进化对于环境资源的下游管理至关重要。其他工作旨在设计用于对抗艾滋病流行的微生物输送剂。分子研究推进了精确建模蛋白质和 DNS 分子相互作用的现象学和微观特性的方法，其他工作包括开发小分子反应性的高通量预测模型。更广泛的影响：该项目增加了学生获得并行计算经验的机会课程工作的一部分，增加研究生的研究机会，支持初级教师的职业发展，并在大学及周边地区建立更广泛的高性能并行计算基础。专门指派一名教师协调员来协助招募和留住代表性不足群体的学生。