Center for the Spatiotemporal Modeling of Cell Signaling

描述（申请人提供）：细胞行为是无数生物化学、生理和结构事件相互作用的产物，这些事件在时间和空间上都是综合的。新墨西哥州的科学家们理想地定位于提供生物系统和数学、统计和计算工具、理论和技术，以理解复杂的细胞内和细胞间信号网络的时空组织、相互作用和动态行为。新墨西哥大学（UNM）只有一个校区，医学院的研究人员与艺术、科学和工程学院的数学家、计算机科学家、生物学家、化学家、物理学家和工程师建立了牢固的研究伙伴关系。新墨西哥大学的科学家们从与桑迪亚国家实验室（SNL）的科学家和非凡的计算资源的合作中受益匪浅。此外，新墨西哥大学的科学家还与洛斯阿拉莫斯国家实验室、圣达菲研究所和国家基因组研究中心建立了强有力的研究伙伴关系。该申请旨在建立新墨西哥大学/SNL细胞信号网络时空建模中心，其目标如下：1)将计算建模整合到专注于理解复杂细胞信号网络行为的创新生物医学研究项目中，反过来，将实验室测量整合到复杂细胞信号网络的计算建模研究中；2)招募和指导能够开发基于计算的研究项目的新教师，这些研究项目涉及复杂细胞信号系统的定量和空间方面；3)为本科生、研究生和博士后，包括我们自己的西班牙裔和美洲原住民学生，提供在复杂生物系统中进行跨学科研究所需的严格跨学科培训；4)向信令和建模社区传播专业知识和知识。最初，该中心将支持六个多学科项目，重点是模拟互补的细胞内和细胞间信号网络。PSE资源将把单个项目中开发的生物数据和建模工具整合到一个解决问题的环境中，该环境可以很容易地用于细胞信号网络的建模。该中心将支持数据采集和同化、管理、培训、外联和传播核心。该中心将对其生物医学、数学、统计和计算科学家提出很高的要求，并将为年轻研究人员提供难得的机会，建立令人兴奋和富有成效的职业生涯。

DESCRIPTION (provided by applicant): Cell behavior is the product of myriad interacting biochemical, physiological and structural events, all integrated in time and space. New Mexico's scientists are ideally positioned to provide the biological systems and the mathematical, statistical and computational tools, theory and technologies needed to understand the spatiotemporal organization, interactions and dynamic behaviors of complex intra- and inter-cellular signaling networks. The University of New Mexico (UNM) occupies a single campus and the School of Medicine's research faculty have forged strong research partnership with the mathematicians, computer scientists, biologists, chemists, physicists and engineers in the Colleges of Arts and Sciences and Engineering. UNM's scientists benefit greatly from collaborations with the scientists and extraordinary computing resources at Sandia National Laboratory (SNL). Additionally, UNM's scientists have strong research partnerships with Los Alamos National Laboratory, the Santa Fe Institute and the National Center for Genome Research. This application, to establish the UNM/SNL Center for the Spatiotemporal Modeling of Cell Signaling Networks, has the following goals: 1), to integrate computational modeling into innovative biomedical research projects focused on understanding the behavior of complex cell signaling networks and, conversely, to integrate laboratory measurements into computational modeling studies of complex cell signaling networks; 2), to recruit and mentor new faculty capable of developing computationally-based research programs that address quantitative and spatial aspects of complex cell signaling systems; 3), to provide undergraduate, graduate and postdoctoral students, including our own Hispanic and Native American students, with the rigorous interdisciplinary training needed to conduct interdisciplinary research in complex biological systems; and 4), to disseminate expertise and knowledge to the signaling and modeling communities. Initially, the Center will support six multidisciplinary Projects focused on modeling complementary intra- and inter-cellular signaling networks. A PSE Resource will incorporate the biological data and modeling tools developed in the individual projects into a problem solving environment that can be accessed readily for the modeling of cell signaling networks. The Center will support cores for Data Capture and Assimilation, Administration, Training and Outreach and Dissemination. The Center will place high demands on its biomedical, mathematical, statistical and computational scientists and will provide exceptional opportunities for young researchers to build exciting and productive careers.