REU Site: Modeling and Simulation in Systems Biology

REU 网站：系统生物学建模与仿真

• 批准号: 1460967
• 负责人: Reinhard Laubenbacher
• 金额: $ 37.5万
• 依托单位: University of Connecticut Health Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460967&HistoricalAwards=false
• 关键词: REU; Site; Modeling; Simulation; Systems

Many biological processes that underlie human health, an abundant and high quality food supply, a healthy and sustainable environment, and a renewable energy supply are complex, with multiple intertwined feedback loops. Systems biology uses mathematics and mathematical models as the key enabling technology to capture this complexity in predictive computer models that allow the efficient design of control strategies, such as the development of new drugs for a variety of human, animal, and plant diseases. There is considerable need for mathematical scientists trained in the development and application of mathematical algorithms for systems biology, and this project focuses on meeting this need. The program takes advantage of a unique research environment that brings together several ongoing programs to develop and implement mathematical algorithms for modeling, simulation, and control of molecular networks. It provides a 10-week, in-residence, intensive summer research program for U.S. citizen or permanent resident undergraduate students from around the United States and Puerto Rico. It will provide participants with a broad view of available career opportunities for mathematical scientists in academia, industry, and government. Participants will have the opportunity to expand their professional network of peers and mentors. The award is supported by the Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) and the Division of Biological Infrastructure (DBI) in the Directorate for Biological Sciences (BIO).Modeling and simulation is a key technology for systems biology. The focus is on biological systems that might be organized into gene regulatory, signaling, or metabolic networks, maybe linked with spatial processes, such as translocation of molecules across cellular compartments. Various intertwined feedback and feedforward loops might be involved in the regulation of the system, linking the molecular with the systemic level. Mathematical models of various kinds are indispensable tools in the effort to understand these systems. There is a clear need for mathematical scientists whose expertise can address these complexities in innovative and rigorous ways. Career opportunities for mathematical scientists with expertise in the biosciences are plentiful in both academics and in industry, in particular in the health care field.

人类健康、丰富和高质量的食品供应、健康和可持续的环境以及可再生能源供应的许多生物过程都是复杂的，具有多个相互交织的反馈回路。系统生物学使用数学和数学模型作为关键的使能技术，以捕获预测计算机模型中的这种复杂性，从而可以有效地设计控制策略，例如开发针对各种人类、动物和植物疾病的新药。 系统生物学非常需要接受过数学算法开发和应用培训的数学科学家，该项目致力于满足这一需求。该项目利用独特的研究环境，汇集了多个正在进行的项目来开发和实施用于分子网络建模、模拟和控制的数学算法。它为来自美国各地和波多黎各的美国公民或永久居民本科生提供为期 10 周的住院强化夏季研究项目。 它将为参与者提供关于学术界、工业界和政府中数学科学家可用职业机会的广阔视野。参与者将有机会扩大他们的同行和导师的专业网络。 该奖项由数学与物理科学局 (MPS) 数学科学部 (DMS) 和生物科学局 (BIO) 生物基础设施部 (DBI) 支持。建模和仿真是系统生物学的关键技术。重点是可能被组织成基因调控、信号传导或代谢网络的生物系统，可能与空间过程相关，例如分子跨细胞区室的易位。各种相互交织的反馈和前馈回路可能参与系统的调节，将分子与系统水平联系起来。各种数学模型是理解这些系统不可或缺的工具。显然需要数学科学家，他们的专业知识能够以创新和严格的方式解决这些复杂问题。具有生物科学专业知识的数学科学家在学术界和工业界，特别是在医疗保健领域，都有大量的职业机会。