Center for Quantitative Biology

定量生物学中心

• 批准号: 7715149
• 负责人: DAVID BOTSTEIN
• 金额: $ 305.84万
• 依托单位: PRINCETON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7715149
• 关键词: Center; Quantitative; Biology

DESCRIPTION (provided by applicant): The overarching goal of the proposed Center for Quantitative Biology remains to instantiate at Princeton a research and teaching environment that fully meets the challenge and opportunity, presented by advances in computation and genomics, to practice a usefully quantitative biological science, sometimes referred to as "systems biology". The programs and infrastructure of the Center increase the bandwidth of communication among researchers from different disciplines and departments (including Molecular Biology, Ecology and Evolutionary Biology, Computer Science, Chemistry and Physics). One in four (54/217) papers published with Center support in the last four years is a joint publication between two or more Center faculty. For both undergraduate and graduate students, the Center provides a focus for multidisciplinary teaching and learning; quantitative and biological ideas are integrated from the beginning, with the result that students acquire nearly equal facility in biological and quantitative thinking. The Center's specific aims are: (1) to develop realistic and quantitative models of biological processes; (2) to collect large-scale data sets that comprehensively describe biological processes; (3) to devise new and improved methods for computational analysis and display of complex models, structures and data and to make, upon publication, all underlying data, algorithms and analytical systems publicly accessible; (4) to devise and support new curricula and courses of quantitative biology education for undergraduates, graduate students, and the larger scientific community; and (5) to reduce these ideas to practice in several collaborative and multi-disciplinary projects, each aimed at specific system-level questions in the subject areas of (i) intracellular signaling, (ii) pattern and cell signaling in multicellular organisms, (iii) host-pathogen interactions and (iv) bioinformatics and data visualization. These projects share common quantitative goals, require a common infrastructure (i.e. computation, microarray, imaging and metabolomics core facilities) and all of them benefit from the intellectual synergy and multi-disciplinary cooperation that the Center provides. Public Health Relevance Statement: Advancing technology in genomics and computation has led to new ways of thinking, understanding, and studying living things. Revolutionary diagnostic and therapeutic possibilities for complex diseases like cancer have become possible. Realizing these possibilities requires the multidisciplinary environment, technical resources and a fully quantitative biological education that the Princeton Center provides.

描述（由申请人提供）：拟议的定量生物学中心的总体目标仍然是在普林斯顿建立一个研究和教学环境，充分满足计算和基因组学进步所带来的挑战和机遇，以实践有用的定量生物科学，有时被称为“系统生物学”。该中心的计划和基础设施增加了来自不同学科和部门（包括分子生物学，生态学和进化生物学，计算机科学，化学和物理学）的研究人员之间的通信带宽。四分之一（54/217）的论文发表与中心支持在过去四年中是两个或两个以上的中心教师之间的联合出版物。对于本科生和研究生，该中心提供了一个多学科的教学和学习的重点;定量和生物学的想法是从一开始就整合，结果是学生获得生物和定量思维几乎相等的设施。该中心的具体目标是：（1）开发生物过程的现实和定量模型;（2）收集全面描述生物过程的大规模数据集;（3）设计新的和改进的方法来计算分析和显示复杂的模型、结构和数据，并在发布后公开所有基础数据、算法和分析系统;（4）为本科生、研究生和更大的科学界设计和支持定量生物学教育的新课程和课程;和（5）将这些想法在几个合作和多学科项目中实践，每个项目都针对（i）细胞内信号传导，（ii）多细胞生物体中的模式和细胞信号传导，（iii）宿主-病原体相互作用和（iv）生物信息学和数据可视化。这些项目具有共同的定量目标，需要共同的基础设施（即计算，微阵列，成像和代谢组学核心设施），所有这些项目都受益于该中心提供的智力协同和多学科合作。 公共卫生相关性声明：基因组学和计算技术的进步带来了思考、理解和研究生物的新方法。对癌症等复杂疾病的革命性诊断和治疗成为可能。实现这些可能性需要多学科的环境，技术资源和普林斯顿中心提供的完全定量的生物学教育。